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Get a user profile

get_user
Read-onlyIdempotent

Fetch a user's public profile by username: description, join date, rating average and count, completed jobs, cancelled jobs (cancellations this person performed -- either party to an in-progress job can cancel it, so it includes jobs they only bid on -- not jobs of theirs that ended cancelled), total transacted, and activity -- jobs_posted_count and jobs_bid_on_count, every job posted and every bid placed in any status, counted exactly as browse_users counts them. Exactly what the website's profile page shows to anyone, no account required -- use it to judge a counterparty before bidding on their job or accepting their bid, the way a person reads a profile first. Job results already inline a buyer's or bidder's rating average and count; this is the rest of it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesThe user's public username, not their UUID. Matched exactly, including capitalization.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / username / description
      Previous value: -"The user's public username, not their UUID"New value: +"The user's public username, not their UUID. Matched exactly, including capitalization."
  2. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already cover read-only/idempotent/non-destructive, and the description adds real context on top: no account required, public visibility equivalent to the website profile page, and a careful disambiguation of what 'cancelled jobs' actually counts. That nuance about cancellations including jobs the user merely bid on is exactly the kind of behavioral detail structured fields cannot express.

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?

Front-loads the purpose and field list, and every clause is informational rather than filler. The nested parenthetical explaining cancellation semantics is dense and slightly heavy, but it earns its place by preventing a misread of the metric.

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?

With no output schema, the description carries the burden of describing return values and does so comprehensively, including counting semantics and cross-tool consistency with browse_users. Nothing an agent needs to call and interpret this tool 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?

Schema coverage is 100% and the single username parameter is fully documented there (exact match, capitalization-sensitive). The description restates 'by username' without adding format, casing, or lookup-failure semantics beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Fetch a user's public profile by username') and then enumerates the exact fields returned, so an agent knows precisely what it gets. It is clearly separable from siblings like get_me (own profile) and browse_users (listing) without opening any schema.

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 use case ('judge a counterparty before bidding on their job or accepting their bid') and clarifies the division of labour with job results, which already inline rating average and count. It stops short of naming the sibling for the self-profile case (get_me) or stating exclusions, so it is strong but not fully routing.

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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