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summarize_task_description

Condense lengthy task descriptions into clear, concise summaries using AI, helping teams quickly grasp task scope and requirements.

Instructions

Use AI to create a concise, clear summary of a task description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idNoTask ID to summarize
descriptionNoAlternatively, provide description text directly

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, and it falls short. It signals an AI call but says nothing about required permissions, latency/cost, what happens if both task_id and description are given or neither, or what the result looks like.

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?

A single efficient sentence with the purpose front-loaded. No waste, though it is arguably too terse to be fully informative.

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?

No output schema and no annotations exist to fill gaps, yet the description omits the return format and the mutual-exclusivity/at-least-one rule for two optional parameters. For a tool where the caller must decide how to invoke it, this is insufficient.

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%, so both parameters are already documented, including the 'alternatively' relationship. The description adds nothing beyond the schema, which is the expected baseline when the schema does the heavy lifting.

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 verb (summarize) and resource (task description), and the AI-driven nature is clear. It is distinguishable from CRUD siblings like get_task or update_task, though it does not explicitly name an alternative among the summary-generating tools (e.g., generate_weekly_summary).

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 guidance on when to prefer this over siblings or when a summary is warranted. Crucially, it never explains the choice between supplying task_id versus raw description text, leaving the caller to infer the intended usage pattern.

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