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reshuibuduo

TMCRA Agent Memory

by reshuibuduo

tmcra_wait_job

Poll a TMCRA job until it succeeds, fails, or is cancelled, with customizable timeout and polling interval.

Instructions

Wait for a TMCRA job to succeed, fail, or be cancelled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
timeout_secondsNo
poll_interval_secondsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does state the three possible terminal conditions, but it omits critical behaviors: that the tool polls, that it may block up to timeout_seconds, what happens on timeout, and whether it returns status or throws an error. These are consequential for an agent deciding to invoke it.

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 a single, front-loaded sentence with no filler. It communicates the core purpose and outcome conditions efficiently. Conciseness is excellent even though other dimensions suffer from insufficient detail.

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?

For a blocking tool with configurable timeout and polling and no annotations, the description is under-specified. It does not mention that the call may block for an extended period, how timeout is handled, or how this relates to get_job. The output schema covers return values, but the missing behavioral context leaves the agent inadequately prepared.

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%, so the description must compensate for parameter meaning, but it does not. It implies job_id via 'a TMCRA job' but says nothing about timeout_seconds or poll_interval_seconds, their units, defaults, or behavior on expiry. The schema titles are self-explanatory, but the description adds no semantic value beyond them.

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 uses a specific verb ('Wait') with a specific resource ('a TMCRA job') and precisely names the terminal outcomes (succeed, fail, or be cancelled). This clearly distinguishes it from siblings like get_job (which likely retrieves status) and the other job-management tools.

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 explicit guidance on when to use this tool versus alternatives such as get_job or manual polling. The description implies a blocking wait but does not state prerequisites, exclusions, or the context in which it should be preferred.

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