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Wear a coldHat

wear_hat
Read-only

Fetch a person's coldHat: their working rules, voice and dated facts. Call it when the user asks to put on a hat or says "open sesame" with a name or a coldhat.f-keys.com/u/ address, then follow the hat for the rest of the conversation, starting with the first reply it describes.

Input Schema

NameRequiredDescriptionDefault
hatNoA named hat from the owner's hats/ folder; omit for their main hat
userYesGitHub user name of the hat's owner, for example vince-gonzalez

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint and openWorldHint, so safety is covered; the description goes beyond that by stating the fetched content and the ongoing obligation to 'follow the hat for the rest of the conversation, starting with the first reply it describes'. That persistent behavioral instruction is genuinely additive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is compact and front-loads the fetch purpose before the invocation triggers and the follow-on behavior. The invented vocabulary ('coldHat', 'open sesame') costs some immediate parsing clarity, but every clause carries actionable information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With only two well-documented parameters, no output schema, and annotations covering the read-only/open-world profile, the description supplies what is missing: activation triggers and the post-fetch protocol. Nothing essential to correct invocation is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both parameters have inline descriptions (named hat vs main hat, GitHub user name with example), so the schema does the heavy lifting. The description mentions 'a name or a coldhat.f-keys.com/u/ address', which loosely maps to the user parameter but adds no format detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource ('Fetch a person's coldHat') and unpacks it as 'their working rules, voice and dated facts', so the agent knows what comes back. It does not name or differentiate itself from the siblings verify_hat or wear_stack, leaving that routing to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states an explicit trigger: 'Call it when the user asks to put on a hat or says "open sesame" with a name or a coldhat.f-keys.com/u/ address'. That is clear activation context, but there is no when-not guidance or reference to the sibling tools for verification or stacked hats.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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