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Crawlora MCP

datasets_x_users_item

Read-only

X users dataset record by username.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesX (Twitter) username, with or without a leading @.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds only the implicit 'single record by username' semantics, with no mention of missing-user behavior or whether the username is exact-match. With annotations carrying the safety burden, this is adequate but thin.

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?

A single front-loaded sentence with no filler; it says what the tool returns and the key it uses. It is efficient, though slightly terse given the tool family it belongs to.

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 described, and annotations cover the safety profile. For a simple one-parameter item lookup this is minimally complete, but it lacks any hint of relationship to the search/facets siblings that share the same prefix.

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 100% and the username parameter is already documented in the schema (with or without leading @). The description restates that the lookup is by username but adds no new semantics, so the baseline 3 applies.

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 resource (X users dataset record) and the lookup key (username), so the agent knows it retrieves one record. It does not explicitly differentiate itself from siblings like datasets_x_users_search or datasets_x_users_facets, though the '_item' suffix and 'record by username' phrasing imply it.

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 guidance on when to use this tool versus datasets_x_users_search (to find users) or datasets_x_users_facets (to enumerate filter values). The agent must infer from the name that this is the single-record fetch, but nothing in the text states it.

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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