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list_changelog

Read-only: list this tenant's published changelog entries (product updates / release notes), sorted newest-first, returning each entry's id, title, body, and publishedAt. Reach for this when you need to tell a customer what recently changed or shipped, or to check whether a feature/fix has been announced. Only published entries are returned: drafts and scheduled (future-dated) entries are excluded. [free]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional maximum number of entries to return, newest first; an integer between 1 and 50. Defaults to 25 if omitted.

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses 'Read-only' behavior and explicitly states that only published entries are returned (drafts/scheduled excluded). This provides sufficient transparency for a simple read operation.

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 description is a single paragraph but well-organized: read-only declaration, what it returns, sorting, usage context, and exclusions. Every sentence adds value with no redundancy. Slightly longer than necessary but still concise.

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?

Given the tool's simplicity (1 parameter with full schema coverage, no nested objects, no output schema), the description covers key aspects: return fields, filtering, usage context. The return fields are listed, compensating for lack of output schema. It is complete for a changelog listing tool.

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 coverage is 100% with the single parameter 'limit' fully described in schema. The description adds value by stating the sort order ('newest-first'), which is not in the schema, and implicitly confirms the default limit behavior. Baseline 3 plus additional sort info yields a 4.

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 clearly identifies the tool's action ('list'), resource ('this tenant's published changelog entries'), and provides specific details: entries are product updates/release notes, sorted newest-first, and return specific fields (id, title, body, publishedAt). It effectively distinguishes from sibling tools that are about issues/tickets.

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?

The description states when to use the tool: 'when you need to tell a customer what recently changed or shipped, or to check whether a feature/fix has been announced.' It implies not for drafts/scheduled entries. While it lacks explicit 'when not to use' or alternatives, the context is clear and helpful.

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

A4.4/5.0
Disambiguation4/5

Most tools have distinct purposes, but the presence of three drafting tools (draft_reply, draft_support_reply, propose_resolution) with overlapping functionality may cause confusion. Descriptions help differentiate them, but an agent could still misselect.

Naming Consistency4/5

Tool names predominantly follow a verb_noun pattern in snake_case (e.g., create_ticket, list_issues). However, a few tools like 'assign' and 'triage' are single verbs, and 'draft_support_reply' breaks the pattern slightly. Overall consistent but not perfect.

Tool Count5/5

16 tools is well-scoped for a customer support server covering ticket management, issue tracking, knowledge base, and changelog. Each tool serves a clear purpose without bloat.

Completeness4/5

The tool surface covers the core ticket lifecycle (creation, triage, assignment, context, drafting, sending, resolving) and supports issue linking and knowledge base search. Minor gaps like updating ticket details or bulk actions exist but are not critical.

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