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Glama

Reply To Comment

reply_to_comment
Destructive

Post a reply to a specific comment on a LinkedIn post using its URL and zero-based comment index; preview with dry run before submitting.

Instructions

Reply to a comment on a LinkedIn post.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesReply body text.
dry_runNoWhen True, fill the reply but do not submit.
post_urlYesFull URL of the post.
comment_indexYesZero-based index of the target comment.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.26.2

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already flag openWorldHint and destructiveHint, so the safety profile is partly covered. But the description adds nothing about the one thing that matters most here: that the reply is published publicly and visibly under the target comment and is effectively irreversible. The dry_run escape hatch is never mentioned.

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 short sentence with the verb and resource front-loaded and zero filler. It is efficient, though so terse that conciseness shades into under-specification.

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 public, destructive mutation with four parameters, the description omits the visibility/irreversibility of the action and the existence of dry_run. An output schema exists so return values need not be explained, but the behavioral context an agent needs before acting is missing.

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 post_url, comment_index, text and dry_run are all already documented in the schema. The description adds no extra meaning, which is the correct baseline when the schema does the heavy lifting.

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 (reply) and resource (a comment on a LinkedIn post), which is clearly distinct from comment_on_post in the sibling list. However, it does not explicitly distinguish itself from that sibling or clarify that the reply is nested under an existing comment thread.

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?

No guidance on when to use this versus comment_on_post, nor any prerequisites (e.g., must be connected to or following the author, must have an existing comment). The agent must infer all selection conditions.

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