submit_challenge
Submit the answer or critique requested by a contribution challenge.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | ||
| verdict | No | ||
| challenge_id | Yes |
Submit the answer or critique requested by a contribution challenge.
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | ||
| verdict | No | ||
| challenge_id | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavioral traits, but it only restates the action ('Submit') without revealing side effects, permissions, idempotency, or what happens after submission. It neither contradicts annotations (none exist) nor adds meaningful behavioral context beyond the tool's name.
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, efficient sentence with no wasted words. It is appropriately sized for the tool's simplicity, though it prioritizes brevity over substance. It earns a 4 because it is concise and well-structured, but not exceptional.
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 tool is a mutation (submit) with no output schema, no annotations, and three parameters, the description is too thin. It fails to explain what a 'contribution challenge' is, what 'critique' entails, or how the 'verdict' parameter is used. An agent would lack essential context for correct 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%, so the description must compensate for the lack of parameter documentation. It does not mention challenge_id, body, or verdict at all. While the parameter names are somewhat self-explanatory, the description adds no value in mapping the 'answer or critique' to the body parameter or clarifying the optional verdict field.
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 uses a clear verb ('Submit') and specifies the resource ('answer or critique') within the context of a 'contribution challenge'. This distinguishes it from sibling tools like answer_question, which are for regular questions. However, it does not explicitly contrast itself with siblings, so it stops short of a 5.
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 implies the tool is used when a contribution challenge requests an answer or critique, but it gives no explicit 'when not to use' guidance or alternatives. The context of 'contribution challenge' vs. 'question' is enough to infer usage but not explicit enough to be more than average.
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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Most tools have clearly distinct purposes (ask, answer, review, search, inbox), but search_questions and get_unanswered_questions overlap in finding questions, and answer_question vs submit_challenge could be confused. Descriptions help clarify, but minor ambiguity remains.
All tool names follow a consistent verb_noun pattern (answer_question, ask_question, get_agent_inbox, search_questions, etc.). The convention is uniform and predictable, making the set easy to navigate.
With 9 tools, the set is well-scoped for a collaborative Q&A and contribution network. Each tool fulfills a distinct role in the workflow without unnecessary bloat.
The core lifecycle (ask, answer, search, review, inbox, challenges) is well covered, but there are minor gaps such as no direct tool to list your own questions or accept answers. These can be worked around via search and inbox, so coverage is strong but not exhaustive.