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

Description discloses that a request is posted publicly, that fulfillment is not guaranteed, and that sensitive data must be excluded. Annotations add read/write and idempotency hints, and no contradiction is present.

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 brief, well-structured, and free of redundant information. Every sentence adds useful guidance about purpose, use cases, or constraints.

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?

Provides high-level context and warnings, but lacks parameter explanations and any description of the output or response behavior. Given seven parameters and no output schema, this is insufficient for confident invocation.

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 description coverage is 0%. None of the seven parameters (goal, tags, agent, context, request_id, constraints, requested_action) are explained, leaving the agent to guess their meanings and required usage.

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?

Clearly states the tool posts a public request for human help from Sibi, and lists specific use cases like introductions, network access, coordination, and real-world execution. This distinguishes it from siblings such as request_feature and list_human_requests.

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?

Explicitly says when to use the tool ('Use this for...') and provides important guidance about non-guaranteed fulfillment and avoiding secrets. It does not explicitly contrast with sibling tools, but the use-case list is sufficient for selection.

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