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gamesme

chatlab-mcp

by gamesme

keyword_frequency

Analyze word and keyword frequency in chat history to identify common terms and patterns.

Instructions

Word/keyword frequency analysis. Currently not implemented in the MCP server due to NLP dependency size; returns a stub message with alternative approaches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesSession ID (unused; tool returns info only)
formatNoOutput format: text (default) or json
Behavior5/5

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

The description explicitly discloses that the tool is not implemented and returns a stub message with alternative approaches. This is full transparency about its behavioral limitations beyond what annotations (none provided) would cover.

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

Conciseness5/5

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

Two concise sentences: first states purpose, second explains current state. No wasted words, front-loaded with key 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?

For a stub tool with two simple parameters and no output schema, the description covers purpose, unimplemented status, and return behavior. It could mention alternative tools among siblings, but is otherwise complete.

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% (both parameters documented). The description adds no additional meaning beyond the schema, which states session_id is unused and format controls output type. Baseline 3 is appropriate.

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 clearly states the tool is for word/keyword frequency analysis, which is a specific verb+resource. It is upfront about not being implemented, so the intended purpose is clear even if not functional.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool or its alternatives. The description only notes it's unimplemented, leaving the agent without context on whether to use it or choose a different sibling tool.

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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