Skip to main content
Glama

Channels: answer a follow request

answer_follow_request
DestructiveIdempotent

Approve or decline one follow request for the person — ONLY with their own answer for that person, and only with confirm: true (ask first: "Anna asks to follow your channel — approve?"). Consent: their 'friends' policy — 'draft' puts a card in their Stream that opens their requests to answer there, 'send' answers now (an approval tells the requester; a decline is silent), 'off' refuses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNotrue once the person said yes to exactly this answer.
decisionYes"approve" or "decline".
requestIdYesThe requestId from list_follow_requests, e.g. "aB3dE5fG7hJ9kL1mN3pQ5rS7".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
noteYes
itemIdYes
statusYes
decisionYes
requestIdYes
requestStatusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true, and idempotentHint=true. The description goes further by disclosing consequences beyond the annotation surface: approvals notify the requester while declines are silent, and answering is gated by the target's consent policy. It stops short of covering auth/scope or rate behavior, but adds real value.

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?

The action is front-loaded in the first clause, and every sentence carries non-redundant information. The heavy parenthetical nesting (em-dash clause plus embedded example quote) makes it denser than ideal, though nothing is filler.

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

Completeness4/5

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

With an output schema present, return values need not be described, and the consent/confirm requirements are well covered. For a destructive, consent-gated mutation the description supplies enough context to call it correctly.

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

Parameters4/5

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

Schema description coverage is 100%, so baseline is 3. The description adds workflow meaning on top of the schema, particularly the confirm:true precondition and the differing effects of 'approve' vs 'decline', which the enum alone does not convey.

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

Purpose5/5

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

States a specific verb pair (approve/decline) plus resource (one follow request) and cardinality, so an agent can separate it from list_follow_requests at a glance. The 'Channels:' title prefix also scopes it correctly.

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

Usage Guidelines5/5

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

Gives explicit constraints ('ONLY with their own answer', 'only with confirm: true'), prescribes the ask-first workflow with a sample prompt, and lays out the 'friends' policy branching (draft/send/off). This is a rare, near-complete when-to-use and how-to-use spec.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.