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WhyFaust

Faust Threads MCP

by WhyFaust

threads_post_insights

Fetch all documented media insight metrics for a Threads post by providing its post ID, enabling analysis of engagement and performance data.

Instructions

Fetch all documented media insight metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

The word 'Fetch' clearly indicates a read-only operation, and 'all documented metrics' gives a sense of the return scope. However, with no annotations carrying the burden, the description does not mention authentication requirements, possible empty results, or whether the metrics are period-based or lifetime-based.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler and the verb is front-loaded. It is easy to scan and does not waste tokens.

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 tool with one required parameter, the definition is minimally usable: an agent knows what action to perform and can see post_id is required. But because there is no output schema and no description of the returned metrics or permissions, the agent cannot fully predict the response or invocation prerequisites.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the tool description does not explain post_id, its format, or how it maps to a Threads post. The parameter name is self-explanatory to some degree, but the description adds no semantic value beyond the raw schema.

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 concrete action ('Fetch') and a resource ('documented media insight metrics'), and the tool name ties it to a specific post. This distinguishes it from account insights, follower demographics, and publishing tools, though the description does not explicitly say 'for a given post' and relies partly on the tool name.

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 explicit when-to-use or when-not-to-use guidance. An agent must infer from the tool name and sibling tool names that this is the per-post analytics tool rather than threads_account_insights or threads_follower_demographics.

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