Skip to main content
Glama

x_quote_post_task

Publishes quote posts on X from a selected account, with before-and-after screenshots and profile-level verification.

Instructions

Run a deterministic quote-post task with screenshots before and after submit, account switching, and profile-level verification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull post URL.
likeNoLike the target post first. Defaults to true.
textYesQuote text to publish.
accountYesTarget X account handle or visible switcher label.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does well: it discloses the execution model (deterministic), captures screenshots before and after submit, performs account switching, and does profile-level verification. That is meaningful behavioral context beyond a bare verb. It stops short of 5 because failure modes, auth requirements, and what happens on verification mismatch are unstated.

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 boilerplate or filler; the task nature and verification steps are introduced immediately. It is a dense feature list rather than a strictly minimal statement, but nothing is wasted.

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?

For a 4-param task tool with no annotations and no output schema, the description covers the workflow but omits the operational essentials an agent needs: expected return/confirmation, failure behavior when verification fails, and preconditions such as an authenticated session. Adequate but with clear 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 description coverage is 100%, so all four parameters (url, like, text, account) are already documented in the schema, including the like default. The description adds no parameter-level meaning beyond that, 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?

States a specific verb+resource: 'quote-post task'. The description conveys scope (screenshots, account switching, profile verification) so the agent understands this is a full end-to-end task wrapper, not a raw post action. It does not explicitly name a sibling it supersedes (e.g., x_create_post or x_reply_post_task), so it falls short of 5.

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?

The description gives no when-to-use or when-not-to-use guidance and names no alternatives. With siblings like x_create_post, x_reply_post_task, and x_engage_post_task, an agent has to infer that this is the 'quote a post' variant rather than being told.

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