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Comment on the tracker issue of a bug

feedbug_add_comment

Post a comment on a bug's tracker issue to document a fix, request a reproduction, or leave an update for the team. Only for Linear-tracked bugs, not GitHub.

Instructions

Post a comment on the tracker issue linked to a bug.

Returns: a confirmation message once the tracker accepted the comment. Use when: you want to document a fix, ask the reporter for a reproduction, or leave an update the whole team can read on the issue. Do not use when: the bug is tracked in GitHub — only Linear-routed bugs accept comments today and the call errors otherwise. Never use it to talk to the user running you; answer them directly instead. Behavior: writes to Linear and is NOT idempotent — every call adds another comment, and this server can neither edit nor delete one. The comment is public to everyone with access to the issue and is authored by the Linear account that installed Feedbug, so send a single finished comment rather than successive drafts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesBug UUID as returned by feedbug_list_bugs, or the tracker identifier such as PRE-13, matched case-insensitively. Ids belonging to another project are rejected.
bodyYesThe comment text, posted verbatim. Linear renders Markdown. Must not be empty or whitespace only.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changedv1.1.2
    • changedInput schema / properties / body / description
      Previous value: -"Comment text"New value: +"The comment text, posted verbatim. Linear renders Markdown. Must not be empty or whitespace only."
    • changedInput schema / properties / id / description
      Previous value: -"Feedback UUID or Linear identifier (e.g. PRE-13)"New value: +"Bug UUID as returned by feedbug_list_bugs, or the tracker identifier such as PRE-13, matched case-insensitively. Ids belonging to another project are rejected."
  2. First observedv0.1.0

TDQS

A5/5.0
Behavior5/5

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

The description discloses key behaviors beyond the minimal annotations: it is not idempotent, cannot edit or delete comments, comments are public and authored by the Linear account, and it advises sending a single finished comment. The annotations (readOnlyHint=false, idempotentHint=false) are consistent but lack detail; the description fills the gap completely.

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 concise, front-loaded with the core action, and uses clear sections (action, return, use cases, behavior). Every sentence is necessary and informative, with no wasted words.

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

Completeness5/5

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

Given the tool has only 2 parameters, no output schema, and no nested objects, the description covers all relevant aspects: return value ('confirmation message'), behavior, and usage constraints. It is complete for effective agent invocation.

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

Parameters5/5

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

Schema coverage is 100%, and the description adds value by clarifying constraints: 'Ids belonging to another project are rejected' and 'Must not be empty or whitespace only.' It also mentions that the body supports Markdown, which is not in the schema.

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?

The description opens with a specific verb and resource: 'Post a comment on the tracker issue linked to a bug.' This clearly distinguishes the tool from its siblings (e.g., feedbug_list_bugs, feedbug_get_bug), which read or list bugs rather than adding comments.

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?

The description explicitly states when to use the tool ('document a fix, ask the reporter for a reproduction, or leave an update') and when not to use it ('bug is tracked in GitHub' and 'never use it to talk to the user running you'). It also provides an alternative context (GitHub vs Linear).

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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