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KasayoDotCom

Identity Forge MCP

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Read client feedback

list_client_comments

Fetch client comments shared on brand variations, oldest first, with each variation and author name. Use before revising to see what clients said, then update or remove variations accordingly.

Instructions

Read what the client wrote on a project's variations through the share link, oldest first, with the variation each comment is attached to and the author's display name. This is the return leg of the share loop: without it you can build a brand project, attach directions and send the link, but never learn what the client actually said about them. Call it before revising, then act on it with update_brand_variation, update_theme, or remove_brand_variation. Anonymous commenters appear as 'Guest' rather than an id, and deleted comments are omitted. Read-only, changes nothing, takes no pagination. Requires the kits:read scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesOwned brand project id from list_brand_projects.
Behavior5/5

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

With no annotations provided, the description carries full behavioral disclosure. It explicitly states 'Read-only, changes nothing,' reveals edge cases ('Anonymous commenters appear as 'Guest'...' and 'deleted comments are omitted'), and specifies scope requirements ('Requires the kits:read scope'). This is unusually transparent for a tool description.

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 front-loaded with the core purpose, then expands with context, usage guidance, edge cases, and requirements. Every sentence earns its place—background context, actionable follow-ups, edge cases, and scope are all relevant. Despite length, it is dense and efficient, not redundant.

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 no output schema, the description adequately describes the returned content: variation, author display name, ordering, and omission of deleted comments. It also covers invocation context, read-only nature, no pagination, and required scope. This is complete for a single-parameter, non-nested list operation.

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?

The input schema already has 100% coverage with a good description of projectId ('Owned brand project id from list_brand_projects'), so the baseline is 3. The tool description does not add meaningful parameter semantics beyond what the schema provides; it only contextualizes the operation around the share link, not the parameter itself.

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 uses a specific verb ('Read') and identifies the exact resource: 'what the client wrote on a project's variations through the share link.' It clearly distinguishes this from sibling tools by detailing scope ('a project's variations'), ordering ('oldest first'), and included fields (variation, author display name), making the tool's purpose unambiguous.

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 provides explicit usage context: it is 'the return leg of the share loop' and tells the agent to 'Call it before revising.' It names concrete follow-up tools ('update_brand_variation, update_theme, or remove_brand_variation'), and states a limitation ('takes no pagination'). This is strong when-to-use guidance with clear alternatives.

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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