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execute_task

Marks a task as in progress and generates an execution prompt with dependencies and an implementation guide for AI agents.

Instructions

Mark a task as in progress and build an execution prompt with dependencies and implementation guide.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions state mutation (marking in progress) and prompt construction, but does not disclose critical side effects: whether the task status change is permanent, what happens to existing prompts or dependencies, whether this requires the task to be in a specific state, or what the generated prompt contains. For a mutation tool with zero annotation coverage, this is inadequate.

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?

A single, tightly written sentence that front-loads the primary action and then details the secondary output. No wasted words, and the compound purpose is clear without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter mutation tool with no annotations and no output schema, the description covers the basic what but omits behavioral details (state transitions, side effects, permissions) and parameter semantics. It is minimally viable but has clear gaps that could lead to incorrect invocations.

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 description coverage is 0% and the single parameter 'taskId' is undocumented in both schema and description. The description implies the tool operates on a specific task but provides no additional parameter details, format expectations, or constraints beyond what is structurally visible. It fails to compensate for the lack of schema descriptions.

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 states a specific compound action: 'Mark a task as in progress' and 'build an execution prompt with dependencies and implementation guide.' It clearly distinguishes itself from siblings like plan_task, verify_task, or reflect_task by its unique execution-prompt-building purpose. However, it lacks a direct sibling reference or statement of what it is not.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: call this when a task is ready to start executing. There's no explicit when-to-use/when-not-to-use guidance nor mention of alternative tools like plan_task or verify_task that might precede or follow this step. The description leaves the agent to infer the workflow position.

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