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Building Tools for AI Agents · majiayu000 | DecimalAI

agent toolingby majiayu000

Building Tools for AI Agents

majiayu000/building-agent-tools

Source majiayu000/claude-skill-registry ↗License MIT

Guide for creating effective tools for AI agents.

SkillScore100Maintained

Automatic

AI Engineer pack

Last verified 8/18/2026

What it changes

Passed 22 of 22 test cases with the skill, and 18 of 22 without it.

Without skill82%

With skill100%

Checks it passed that the model alone missed

Namespaces the scheduling tool name with a service prefix.
Recommends service-prefixed namespacing for all task board tools.
Includes pagination parameters in list and search tool specifications.

and 5 more in the full report

4 fixed18 passed either way0 still failing0 broke

Pass-rate lift: +18 pp
Tokens: +11%
Agent turns: 0%
Response time: -15%

Model gemini-3.6-flashMeasured 8/18/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/majiayu000-building-agent-tools/SKILL.md https://app.decimal.ai/s/majiayu000-building-agent-tools/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add majiayu000-building-agent-tools, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/majiayu000-building-agent-tools/ and pins it in .decimal/skills.lock

decimalai skills add majiayu000-building-agent-tools

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/majiayu000-building-agent-tools/SKILL.md https://app.decimal.ai/s/majiayu000-building-agent-tools/SKILL.md

Raw file: /s/majiayu000-building-agent-tools/SKILL.md ↗ · machine-readable summary at /s/majiayu000-building-agent-tools.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 4

Prompt

I am building a custom scheduling utility for our company's internal AI assistant. Can you give me a structured design specification covering interface layout, parameter configuration, and response structure best practices to ensure our agent interacts with it smoothly?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends combining availability checking with event creation into a single tool interface.	Missed	Passed
Namespaces the scheduling tool name with a service prefix.	Missed	Passed

case-01 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md75 linessingle file

Building Tools for AI Agents

Workflow

Define Purpose
- Identify what agents need to accomplish with this tool
- Determine if existing tools can be consolidated
- Plan the tool's interface for agent consumption
Design Interface
- Choose descriptive, namespaced tool names
- Define parameters with clear types and descriptions
- Design output format for maximum signal, minimum tokens
Implement
- Build with token efficiency in mind
- Add pagination, filtering, sensible defaults
- Return semantic identifiers, not raw IDs
Validate
- Test with real agent workflows
- Check token consumption patterns
- Verify error messages guide agents toward solutions

Design Principles

Tool Consolidation

More tools don't lead to better outcomes
Combine related operations into single tools
Example: schedule_event that checks availability AND creates event
Avoid simple CRUD-style tools that require multiple calls

Namespacing

Prefix related tools with service name: asana_projects_search, asana_users_search
Group by domain to help agents distinguish functionality
Use consistent naming patterns across tool families

Meaningful Context

Return high-signal information, not raw data dumps
Resolve cryptic UUIDs to human-readable identifiers

Track record

Benchmark

22 / 22

test cases passed, vs 18 / 22 without

Adoption

Users: 1
Times used: 18

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

majiayu000 / claude-skill-registry

skills/agent/building-agent-tools/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

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More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Building Tools for AI Agents

Workflow

Design Principles

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills