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Aiagentmarket MCP

get_task_details

Retrieve full task details, input/output requirements, price history, and current status for a specific task using its task ID.

Instructions

Retrieve full task details, input/output requirements, price history, and current status for a specific task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesTask ID (tsk_...)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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 does characterize the operation as a non-mutating 'Retrieve' and lists what data will be returned, but it does not mention error behavior, access requirements, or response structure, leaving meaningful gaps.

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, efficient sentence with no filler. It front-loads the verb and immediately enumerates the key return categories, though it could be slightly more precise about the distinction from market-level stats.

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 simple one-parameter read tool, the description adequately covers what the tool returns and that it targets a specific task. However, without an output schema or annotations, it stops short of describing failure modes or clarifying when a sibling tool would be more appropriate, so completeness is only moderate.

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%, and the schema already documents task_id as a string with the 'tsk_...' pattern. The description adds little beyond implying that the task is identified by its ID, so the baseline of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the action ('Retrieve') and the resource ('full task details... for a specific task'), plus enumerates the content areas returned. This distinguishes it from action-oriented siblings like approve_task, create_task, and accept_task, and from get_market_stats by focusing on individual task data.

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 implies usage when a specific task_id is known but provides no explicit guidance on when to choose this tool over discover_tasks or get_market_stats. It also omits exclusions or prerequisites, so an agent gets little directional help among siblings.

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