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Check a running brief

get_brief_job
Read-onlyIdempotent

Status of a brief started with run_brief. While running, returns the stages finished so far and when to poll again. When complete, returns the brief, a short memo and the web link. needs_input means the run stopped to ask something — follow how_to_continue. declined means the question wasn't a booking question.

Input Schema

NameRequiredDescriptionDefault
job_idYes

Output Schema

NameRequiredDescriptionDefault
urlNo
memoNo
briefNo
errorNo
job_idYes
reasonNoFor needs_input/declined: disambiguation | ambiguous | low_confidence | off_topic
statusYesrunning | complete | needs_input | declined | failed
messageNo
partialNo
brief_idNo
progressNoStages finished so far
candidatesNo
pre_filledNo
suggestionNoFor declined runs: an example of a question that would work
available_dataNo
missing_fieldsNo
quota_refundedNo
data_confidenceNo
elapsed_secondsNo
how_to_continueNo
poll_after_secondsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnly, idempotent, non-destructive annotations, the description discloses state-dependent behavior: running returns completed stages and polling guidance, complete returns brief/memo/link, needs_input requires following how_to_continue, and declined has a specific meaning. This is exactly the behavioral context an agent needs for a polling tool.

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 front-loaded with the tool's purpose, then efficiently covers each relevant state and return behavior. Every sentence carries operational meaning, including the special needs_input and declined cases.

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?

For a simple polling tool with an output schema and safety annotations already present, the description is largely complete: it covers lifecycle states, polling guidance, and completed-run returns. The remaining gap is that it does not explicitly tie job_id back to run_brief's returned identifier.

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 0% for the single required job_id parameter. The description only indirectly implies that job_id identifies a brief started with run_brief; it does not explicitly name job_id or explain where to obtain it, though the single-parameter schema and self-evident name limit the ambiguity.

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 states a specific resource and scope: the status of a brief started with run_brief. It also distinguishes this polling/status tool from the initiating sibling run_brief by saying the brief was started with that tool, and it names the lifecycle states the agent will encounter.

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?

It gives clear usage context: call this for a job created by run_brief, poll again while running, and retrieve results when complete. It does not explicitly name when not to use it versus siblings like get_brief or list_briefs, but the lifecycle context is strong enough for selection.

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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