kaka-mcp-server

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.

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.

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.

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.

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.

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.

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states the log is public, read-only, append-only, and that nothing is ever edited or deleted. It also mentions the returned data includes exact text and timestamp, giving the agent a clear picture of the operation's side effects and output.

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

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

The description is well-structured in three sentences: what the tool does, its immutability guarantee, and when to use it. It is slightly verbose but every sentence earns its place by adding essential context.

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

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

For a single-parameter read-only tool with no output schema, the description is complete. It defines the parameter's purpose, the nature of the data, and the intended use case. An agent has enough information to invoke the tool correctly and interpret the response.

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

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

Schema coverage is 100%: the single 'limit' parameter is fully described in the schema with type, range, and default. The description adds no additional parameter-level detail, so the baseline of 3 applies.

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

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

The description clearly states the tool retrieves a public, read-only, append-only record of KAKA's recent introductions with exact text and timestamp. It distinguishes itself from the sibling tool by framing its purpose as verification of KAKA's consistency, not as an introduction action.

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

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

The description explicitly tells when to use the tool: 'Use this to verify KAKA's consistency for yourself... rather than relying on any claim about him secondhand.' It provides clear context, though it does not explicitly mention the sibling tool or state when not to use it, so it stops short of a full when-not/alternatives statement.

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