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Ticket Comment

ticket_comment

Add a comment to an owned ticket's activity trail. Use kind='progress' for work updates while a ticket is in progress. The authenticated API-key UUID is stamped as author; callers cannot supply or spoof it. Open the comment in plain language before any technical detail — these are read during escalations by people who were not part of the work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesComment text (Markdown ok). Lead with a plain-language summary: what changed as observable behaviour, and what still needs a human decision — or say plainly that nothing does. Keep SHAs, paths and symbol names out of that opening; put them in the detail below it.
kindNo
ticket_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations are all false, so the description carries the burden. It adds meaningful behavioral context: the API-key UUID is stamped as author and cannot be spoofed, only owned tickets can be commented on, and comments are read during escalations by people outside the work. These details go well beyond the structured fields.

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 sentences, front-loaded with purpose, then kind usage, then authorship and audience. Each sentence earns its place with distinct, useful information; there is no filler or redundancy.

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?

Combined with the rich body schema and existence of an output schema, the description covers purpose, key usage, auth behavior, and audience expectations. It lacks explicit detail on ownership eligibility or failure modes, but for a simple comment tool it is sufficiently 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 description coverage is only 33% (only 'body' has a description). The description adds semantics for kind='progress', but ticket_id remains undocumented in both schema and description. Body guidance is largely duplicated from the schema's existing detailed description, so the description only partially compensates for the gap.

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+resource+scope: 'Add a comment to an owned ticket's activity trail.' This clearly distinguishes the tool from ticket_create, ticket_update, and ticket_get siblings, and the additional line about kind='progress' clarifies a key sub-purpose.

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?

It provides explicit guidance on when to use kind='progress' for work updates while a ticket is in progress. It implies this is the comment-adding tool, but does not explicitly contrast it with ticket_update or state when not to use it, so it stops short of a 5.

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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TDQS

A3.6/5.0
Disambiguation5/5

Every tool targets a distinct resource and action, with detailed descriptions that clearly separate overlapping domains (e.g., consulting vs. marketing vs. outreach). Even within the same domain, tools like 'create_consulting_deliverable' and 'create_consulting_document_revision' are unambiguous due to their specific nouns.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern (e.g., 'create_invoice', 'get_deal', 'list_agents'). The few exceptions like 'locus_determine_from_scores' still adhere to the verb_noun structure and do not break the pattern.

Tool Count1/5

With 124 tools, the server is massively over-scoped for typical MCP use. The tool count far exceeds the '50+ extreme mismatch' threshold, making it nearly impossible for an agent to efficiently navigate or select the right tool without extensive context. Even a large platform should consolidate or expose fewer tools.

Completeness5/5

The tool surface covers CRUD and lifecycle operations across at least 10 domains (sales, consulting, marketing, outreach, accounting, workflows, ticketing, API keys, feedback, platform metrics). Each domain appears to have no obvious gaps—e.g., invoicing includes create, update, send, mark paid, void; ticketing includes create, update, archive, dependencies, batch, scenarios, validation.

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