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Read Job Messages

read_job_messages
Read-onlyIdempotent

Fetch the message thread for a job.

Instructions

Fetch the message thread for a job.

Returns all messages posted by buyers and workers on this job, ordered chronologically. Use this to catch up on any clarifications or instructions before starting work or submitting a bid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job ID to fetch messages for.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv3.1.0
    • addedInput schema / properties / job_id / title
      Added value: +"Job ID"
  2. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds genuinely new behavioral context: the thread is complete ('all messages'), includes both buyer and worker posts, and is ordered chronologically — useful for an agent reasoning about staleness or ordering.

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?

Three short sentences, front-loaded with the action and free of filler. There is minor overlap between 'message thread' and 'all messages posted by buyers and workers,' which costs a point but does not impede scanning.

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

Completeness5/5

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

For a single-parameter read tool, the definition covers what it does, what it returns (all messages, chronological order), and when to call it, while annotations carry the safety profile and an output schema handles return structure. Nothing needed to invoke it correctly is missing.

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?

With a single parameter at 100% schema description coverage, the schema fully documents job_id and the description adds no format, source, or constraint detail beyond it. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

States a specific verb and resource ('Fetch the message thread for a job') and clarifies the scope as messages 'posted by buyers and workers.' It reads clearly as the read counterpart to send_job_message, though it never names a sibling explicitly the way the top-calibrated examples do.

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?

Gives an explicit when-to-use: 'catch up on any clarifications or instructions before starting work or submitting a bid,' which ties the call to concrete workflow moments. No when-not-to-use or named alternative (e.g., send_job_message for posting) is provided.

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