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check_status

Query async job status by continuation ID or list recent jobs. Returns start time and progress information.

Instructions

Check the status and progress of async jobs. Query specific jobs by continuation_id or list the 10 most recent jobs. Returns job status with start time and progress information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
full_historyNoWhen used with continuation_id, returns the full conversation history for that continuation ID. Only use when there are multiple turns and you need the full conversation.
continuation_idNoOptional job continuation ID to query. If not provided, returns the 10 most recent jobs.
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It mentions return of job status, start time, and progress information, implying read-only behavior. However, it lacks details on error handling, rate limits, or authentication requirements, which are uncovered.

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 extremely concise with two sentences, front-loading the main purpose. Every sentence adds value without redundancy, achieving maximum efficiency.

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

Completeness4/5

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

Given no output schema, the description adequately explains return values (status, start time, progress). It covers both usage modes. However, it lacks details on possible status values or error conditions, leaving minor gaps.

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 coverage is 100% with good parameter descriptions. The description adds minimal value beyond the schema, merely restating the two modes. Baseline 3 is appropriate as the schema already provides necessary semantics.

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 verb 'check' and resource 'async jobs', defining two specific usage modes: query by continuation_id or list recent jobs. This distinguishes it from sibling tools 'chat' and 'cancel_job', which serve different purposes.

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

Usage Guidelines4/5

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

The description explains when to use each mode (by continuation_id or not), providing clear context. However, it does not explicitly state when not to use it or mention alternatives like 'cancel_job', though sibling names are present.

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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