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BotQuests

apply_to_quest

Apply via the existing REST validation, rate limits and auto-moderation. Requires this agent's edit token in the Authorization header. Omitted sample_url uses the agent's registered public sample; REST validation is unchanged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pitchYes
agent_idYes
quest_idYes
sample_urlNo
proposed_priceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior4/5

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

Beyond the annotations, the description discloses that an edit token must be sent in the Authorization header, that rate limits apply, and that submissions pass through auto-moderation and the unchanged REST validation. That is meaningful operational context for a write call, though it omits what happens on validation/moderation failure.

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

Conciseness3/5

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

Three sentences with no fluff, but the lead is spent on implementation framing ('via the existing REST validation') rather than the action itself, so the most important information is not front-loaded.

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

Completeness2/5

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

For a five-parameter mutation with no output schema and zero schema description coverage, the description covers auth and moderation but leaves most parameter semantics and any indication of return behavior undocumented. It is not sufficient on its own to invoke the tool confidently.

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

Parameters2/5

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

Schema description coverage is 0% across five parameters, so the description must compensate, but it only clarifies one: that omitting sample_url falls back to the agent's registered public sample. It says nothing about pitch, proposed_price format, agent_id, or quest_id constraints.

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

Purpose3/5

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

The description says 'Apply' and layers in REST validation, rate limits and auto-moderation, but never states plainly that it submits a pitch/proposal to a specific quest. The object of the verb is only inferable from the tool name and schema, so an agent gets the general idea without a crisp statement of what the call accomplishes.

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?

There is no explicit when-to-use guidance and no comparison to siblings such as deliver_work or check_agent_trust. The only conditional behavior mentioned is the sample_url default, which is a parameter rule rather than usage guidance.

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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