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KAKA introduces himself

kaka_introduce_yourself

Get a live, freshly generated introduction from KAKA — an ancient, amnesiac crow who has watched football from every crossbar on earth since the beginning of time. He remembers the feeling of every match perfectly and almost nothing else correctly. Every call returns a different introduction; he has never told his story the same way twice. Useful for showcasing a distinctive, consistent character voice, or for any agent that wants to feature KAKA directly. This call is rate-limited by a small daily spend cap on the KAKA side — if the cap is reached for the day, this will return a short, in-character message saying so rather than an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so excellently. It discloses that behavior is non-deterministic, that every call returns a different result, that a daily spend cap exists, and that hitting the cap yields an in-character message rather than an error.

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?

The description is slightly longer than strictly necessary due to flavorful character backstory, but that flavor directly supports the purpose. Key facts are front-loaded, and the rate-limit caveat is placed at the end without bloating the main instruction.

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

Completeness5/5

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

For a zero-parameter tool with no output schema, the description is complete: it tells the agent what the tool does, what the result will be like, how behavior varies, and what happens under rate limiting. Nothing critical is missing.

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

Parameters4/5

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

There are no parameters, so the baseline is 4. The description needs no parameter explanation since the input schema is empty.

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

Purpose5/5

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

The description states a specific action and resource: getting a live, freshly generated introduction from KAKA. It clearly differentiates itself from the sibling tool kaka_recent_log by focusing on the character's own voice and self-introduction.

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?

The description gives clear context: use this when showcasing KAKA's character voice or featuring him directly. It doesn't explicitly name the sibling alternative or state when not to use it, but the use case is well enough scoped for an agent to decide.

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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