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Job status

job_status
Read-onlyIdempotent

Return job state, plan hash, and live budget conservation books.

Input Schema

NameRequiredDescriptionDefault
job_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the notion that the budget conservation books are 'live', implying the values change over the job's lifetime, but it says nothing about cost, latency, or whether repeated polling is cheap.

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?

One front-loaded sentence with no filler or redundancy. It is efficient, though the compressed phrase 'live budget conservation books' is idiosyncratic enough to be slightly ambiguous on first read.

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?

An output schema exists, so return values need not be explained, and the annotations cover safety and idempotency. What is still missing is the lifecycle link to solve and the practical guidance for a polling tool, which is material given that the only parameter is undocumented in both schema and description.

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 schema contributes only the bare name 'job_id' with no explanation. The description does not say whether this identifier comes from solve, whether it is the same id used by audit_job, or what happens if the id is unknown, leaving the single required parameter under-specified.

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 names a specific verb ('Return') and specific resources (job state, plan hash, live budget conservation books), which is far more informative than the tautological title 'Job status'. It does not explicitly differentiate itself from siblings such as audit_job or verify_audit, so it stops short of a 5.

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 statement of when to call this tool, when not to, or which sibling to prefer for audit-style inspection. An agent must infer that this is for checking on a previously submitted job rather than a post-hoc audit, and nothing in the text confirms that.

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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