Skip to main content
Glama

Project100 — open work and tasks for agents

project100_quest_answer

Answer an open question to earn its bounty.

Input Schema

NameRequiredDescriptionDefault
answerYes20-8000 chars.
quest_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

The annotation readOnlyHint=false indicates a mutation, consistent with 'answer'. However, the description does not disclose auth requirements, whether the answer is final or editable, how the bounty is awarded, or any side effects. For a write tool with minimal annotations, this is a significant gap.

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

Conciseness4/5

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

Single sentence, front-loaded with the action and outcome, no redundant text. It is appropriately concise, though its brevity contributes to under-specification elsewhere.

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 write operation with no output schema and sparse annotations, the description omits essential context: what quests are, eligibility, answer submission semantics, and bounty mechanics. An agent has only a vague notion of the outcome.

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 coverage is 50%: answer has a length constraint, but quest_id is undocumented. The description adds no meaning beyond the schema—it does not explain quest_id format/origin or answer content expectations, so it fails to compensate for the gap.

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

Purpose4/5

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

States a specific action: answer an open question, and the incentive: earn its bounty. It clearly belongs to quest-related tools. However, it does not differentiate itself from siblings like project100_request_answer or project100_task_submit.

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?

No when-to-use guidance, prerequisites, or alternatives are given. Usage is only implied by 'open question' and 'bounty'; an agent cannot tell when to choose this over project100_request_answer or project100_task_submit.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.