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fetch_standups

Retrieve a formatted JSON list of standups from Geekbot via the Geekbot MCP server. Facilitates access to standup data for integration within AI-driven workflows and conversations.

Instructions

Fetch standups list from Geekbot

Returns:
    str: Properly formatted JSON string of standups list

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return format ('Properly formatted JSON string'), which adds some value, but fails to cover critical aspects like authentication needs, rate limits, error handling, or whether it's a read-only operation. This leaves significant gaps for a tool that interacts with an external service.

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

Conciseness5/5

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

The description is extremely concise with only two sentences, front-loading the core purpose and then specifying the return format. Every sentence adds essential information without any waste, making it highly efficient.

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 the complexity of fetching data from an external service (Geekbot), no annotations, and no output schema, the description is incomplete. It lacks details on authentication, error cases, pagination, or data scope, which are crucial for effective tool use. The return format hint is helpful but insufficient for full contextual understanding.

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

Parameters4/5

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

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a high baseline score for not introducing unnecessary information.

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 action ('fetch') and resource ('standups list from Geekbot'), making the purpose understandable. However, it doesn't explicitly differentiate from the sibling tool 'fetch_reports', which appears to be a similar data retrieval operation, so it doesn't reach the highest score.

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?

The description provides no guidance on when to use this tool versus the sibling 'fetch_reports' or any alternatives. It lacks context about specific use cases, prerequisites, or exclusions, leaving the agent with minimal direction.

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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