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List issues

list_unified_issues
Read-onlyIdempotent

List issues from the connected account. Returns an array of issue records. Supports filtering by updated_gte, sort, order, and pagination. Use to browse or search many issues; to fetch a single issue by its ID, use get_unified_issue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo
limitNoMaximum number of results to return in one page (default 100)
orderNo
offsetNoNumber of results to skip, for pagination (default 0)
updated_gteNoReturn only results whose updated date is equal or greater to this value (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / limit / description
      Added value: +"Maximum number of results to return in one page (default 100)"
    • addedInput schema / properties / offset / description
      Added value: +"Number of results to skip, for pagination (default 0)"
  2. Changed2 schema fields changed
    • removedInput schema / properties / fields
      Removed value: -{
      -  "description": "Comma-separated list of fields to include in the response",
      -  "type": "string"
      -}
    • changedInput schema / properties / updated_gte / description
      Previous value: -"Return only results whose updated date is equal or greater to this value"New value: +"Return only results whose updated date is equal or greater to this value (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"
  3. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover readOnlyHint, idempotentHint, and destructiveHint, so the description adds useful context beyond those: the data scope ('connected account'), the return shape ('array of issue records'), and supported filtering/pagination. It does not contradict annotations and adds meaningful behavioral context, though it omits potential auth/rate-limit notes.

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 three sentences with no filler. It front-loads the core action, then capabilities, then usage guidance and sibling routing. Every sentence contributes 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?

For a read-only list endpoint with no required parameters and no output schema, the description covers purpose, scope, filtering, pagination, and the alternative single-issue tool. It is sufficient for correct invocation, though it does not detail the fields inside each issue record or pagination response metadata.

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 60%, so the description has some responsibility to clarify parameters. It mentions updated_gte, sort, order, and pagination, but does not add much meaning beyond the schema's existing enum values and descriptions. It groups the parameters helpfully but does not explain how they interact or clarify the less-described `sort` and `order` semantics.

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 states a specific action and resource: 'List issues from the connected account' and 'Returns an array of issue records.' It also distinguishes itself from the sibling tool by explicitly saying to use `get_unified_issue` for fetching a single issue by ID.

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 when-to-use guidance: 'Use to browse or search many issues' and names the alternative for single-issue retrieval. This gives an agent a clear decision rule without needing to infer.

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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