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dataciviclab

dataciviclab

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by dataciviclab

github_add_discussion_comment

Add a top-level comment to a GitHub Discussion by providing the discussion number and comment body, so agents can participate in repository conversations.

Instructions

Aggiunge un commento top-level a una GitHub Discussion.

Input Schema

NameRequiredDescriptionDefault
bodyYes
numberYes
repo_full_nameNodataciviclab/dataciviclab

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It reveals only that this is an additive write ('aggiunge'), with nothing about permissions, failure modes on locked/archived discussions, or whether retries duplicate the comment.

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 is efficient, but the brevity comes at the cost of the behavioral and parameter detail noted above.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and 0% schema description coverage, the description is too thin; only the output schema relieves it of explaining return values. An agent cannot determine required permissions, the repo default behavior, or expected failure modes from this text.

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 coverage is 0% across three parameters, so the description must compensate and largely does not. It indirectly implies that 'body' is the comment text and 'number' identifies the target Discussion, but says nothing about the repo_full_name default ('dataciviclab/dataciviclab'), which is a significant silent behavior.

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 and resource: adding a top-level comment to a GitHub Discussion. The 'top-level' qualifier usefully distinguishes it from a reply mechanism, though no sibling (e.g. github_create_discussion, github_get_discussion) is named for contrast.

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, and no mention of prerequisites such as needing write permission or an unlocked discussion. The only implied guidance is the word 'top-level', which hints at a contrast with threaded replies but never explains it.

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