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CryptoJym

OSS 120B Autonomous Project Manager MCP

by CryptoJym

query_pm

Query the project management agent with natural language to manage tasks, synchronize GitHub, Notion, and Motion, and automate project workflows.

Instructions

Query the PM agent with natural language for any project management task

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language query or instruction
contextNoAdditional context for the query
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the tool queries a PM agent, but does not mention side effects, idempotency, rate limits, or action consequences. The agent cannot infer safety or behavior.

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?

The description is a single sentence, concise and front-loaded. However, it could be more informative without losing conciseness, e.g., by adding typical use cases.

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?

Given no output schema and no annotations, the description should explain return values, error behavior, or usage constraints. It does not, leaving significant gaps for the agent to infer.

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

Parameters3/5

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

Schema description coverage is 100% with both parameters described adequately. The description adds no additional semantic value beyond the schema, so baseline score of 3 is appropriate.

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?

The description clearly states the tool queries a PM agent for project management tasks via natural language. It is specific about the action ('query') and the resource ('PM agent'), but does not differentiate from siblings like 'analyze_project' which may overlap.

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 guidance is provided on when to use this tool versus alternatives. The phrase 'for any project management task' is too broad and does not specify context or exclusions, leaving the agent without decision criteria.

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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