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chatgenius-mcp

chatgenius-mcp

Official
by SumCodeAI

bulk_reject_comment_replies

Reject multiple pending comment reply drafts by ID and return the number changed; non-pending IDs are ignored.

Instructions

Bulk reject replies. Drops the pending draft for each id. Ids that are not pending are ignored; rejected says how many changed.

Input Schema

NameRequiredDescriptionDefault
idsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A3.7/5.0
Behavior4/5

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

With annotations already covering safety profile, the description adds genuine behavioral detail: it states exactly what happens per id ('Drops the pending draft'), how non-qualifying ids are treated, and names the response field 'rejected'. Minor tension worth noting: the ignore-if-not-pending behavior reads as effectively idempotent, while idempotentHint is false, and dropping a draft is a deletion-like effect despite destructiveHint=false — enough to warrant caution but not a direct contradiction.

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?

Three short sentences, front-loaded with the action, then the effect, then the no-op case and return field. Nothing is redundant or padded.

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?

There is no output schema, and the description usefully names the 'rejected' count field, so an agent can anticipate the shape of a result. However, it omits the 100-id cap, permission requirements, and whether a rejected draft can be recovered — gaps for a mutation tool with no output schema.

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 0%, so the description must carry the meaning, and it does explain that ids refer to replies and that non-pending ones are silently ignored. It does not disclose that ids is an array of 1–100 integers, the per-call cap, or what counts as a valid reply id, so compensation is partial.

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 specific verb and resource ('Bulk reject replies') and, together with the `ids` array, makes the batch scope unambiguous against single-item siblings like reject_comment_reply. It stops short of explicitly contrasting itself with reject_comment_reply or bulk_approve_comment_replies, so the differentiation comes mostly from the tool name rather than the prose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Ids that are not pending are ignored' conveys a real precondition (only pending drafts can be rejected) and implicitly tells the agent this is a no-op tolerant operation. There is no explicit when-to-use routing to reject_comment_reply for a single id, no note on batch limits, and no mention of required approvals/permissions.

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

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