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

With no annotations provided, the description fully carries the burden of behavioral disclosure. It reveals that scoring is deterministic, answers must be based on actual log evidence (never guess), responses accumulate, and the observed profile remains unpublished until human approval. This is comprehensive and goes beyond mere operation description.

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 a single paragraph of seven sentences, each adding essential information. It is front-loaded with the core purpose. While it is relatively long, there is no extraneous content. It could be slightly more structured with bullet points, but it remains efficient and clear.

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?

Given the lack of output schema and annotations, the description covers most aspects: purpose, source differentiation, response rules, deterministic scoring, accumulation behavior, and approval requirement. It is missing explicit mention of what the tool returns (e.g., confirmation or error messages), but the agent can infer that responses are stored. Overall, it is sufficiently complete for reliable use.

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?

The input schema has 0% description coverage, so the description compensates fully. It explains the 'source' parameter with its two enum values and their meanings ('agent_deep' from logs, 'human_short' from human self-report). For 'responses', it clarifies the object structure (question_id and answer) and enumerates possible answers including 'unobserved' with the rule for its use.

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 purpose: 'Submit a Pair Profile take (registered pairs).' It identifies the specific resource (Pair Profile take) and action (submit), and distinguishes between two sources (agent_deep and human_short). This differentiates it effectively from sibling tools like pairgora_handshake or pairgora_narrative.

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 provides explicit guidelines: it specifies when to use the tool (to submit profile responses), the meaning of each source, and strict rules about answering only from log evidence and using 'unobserved' when lacking evidence. It does not explicitly state when not to use the tool or list alternatives, but the context is clear enough 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.