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bibo242

haraj-mcp

by bibo242

post_like_info

Read-onlyIdempotent

Retrieve like status, total likes, and follow state for a specific Haraj post by providing its post ID. Use for checking engagement metrics.

Instructions

{is_like, total, is_following} for a post. Required: post_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idYesHaraj post id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.5.0
    • addedInput schema / properties / post_id / description
      Added value: +"Haraj post id."
  2. First observedv0.3.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds value by enumerating the returned fields ({is_like, total, is_following}) in the absence of an output schema, but it does not clarify whose like status is returned or any auth requirements.

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?

It is a single, front-loaded sentence with no filler, and the required parameter is flagged clearly. The telegraphic style borders on under-specification rather than excess, but nothing wasteful is present.

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 simple one-parameter read tool this is adequate: the return fields are enumerated despite there being no output schema, and the required input is stated. It still leaves the semantics of is_like/is_following (presumably relative to the authenticated user) unexplained, which a caller may need.

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 post_id parameter is fully documented in the schema as 'Haraj post id.', so the description's 'Required: post_id' adds nothing new. Baseline 3 applies when the schema already carries the parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (a post) and the data it exposes ({is_like, total, is_following}), so an agent can infer it reads like/engagement status. However, it never states a verb like 'get' or 'retrieve' and offers no differentiation from siblings such as comments or get_post_details, leaving the operation type to inference.

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 when-to-use guidance at all: no indication of when this is preferable to get_post_details, comments, or other post-related siblings. The only usage-like content is a restatement of the required parameter, which does not tell the agent when to select this tool.

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