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list-card-comments

Read-only

Retrieve comments from a Favro card using its cardCommonId. Returns user IDs which can be resolved to names via the list-users tool.

Instructions

Read the comments on a Favro card. Takes the card's cardCommonId, not its cardId, because comments are shared across every instance of the card. Use list-users to turn the returned userIds into names. Not cached, so results are always current.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoZero-based page index. Omit for the first page. Favro returns 100 entities per page.
backendIdNoRequired when page is greater than 0: the backendId from the previous call's "pagination" block, which routes the request to the same Favro server.
requestIdNoRequired when page is greater than 0: the requestId from the previous call's "pagination" block.
cardCommonIdYesThe cardCommonId of the card whose comments should be read, as returned by get-card or list-cards.
organizationIdNoThe Favro organization to query. Defaults to the organization configured for this MCP server. Use list-organizations to discover available ids.
Behavior5/5

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

Description aligns with readOnlyHint and openWorldHint annotations, and adds valuable behavioral info ('Not cached', cardCommonId detail) that goes beyond annotations.

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 concise sentences, front-loaded with core purpose, no filler. Every sentence adds value.

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?

Covers key aspects: identifier choice, pagination hints, post-processing from output. Lacks explicit output structure details, but given lack of output schema, it is reasonably complete.

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 100% with good parameter descriptions; the description reinforces cardCommonId usage but adds little extra meaning for parameters beyond what the schema provides.

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?

Clearly states it reads comments on a Favro card, specifies the required identifier (cardCommonId), and distinguishes from card-related siblings by focusing on comments.

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

Usage Guidelines4/5

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

Explains why to use cardCommonId instead of cardId, advises using list-users for post-processing, and notes that results are uncached. Lacks explicit exclusions or when-not-to-use, but provides sufficient context.

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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