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accelo

Get an issue (ticket)

get_issue
Read-only

Fetch a single issue (support/service ticket). Accelo API: GET /api/v0/issues/{id}. Returns { meta, response }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe issues object id.
fieldsNo_fields: comma-separated extra fields to include in each object, or "_ALL" for every available field.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read. The description adds the underlying API route and the top-level return envelope ({ meta, response }), which is modestly useful context, but it says nothing about error behavior when an id is missing or whether the response is paginated.

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 short, front-loaded sentences with zero filler: purpose first, then endpoint, then return shape. Nothing redundant or buried.

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 simple single-record GET with no output schema, the description supplies the endpoint and the response envelope, which is close to sufficient. Only deeper error/edge-case behavior is absent, which is a minor gap for a read-only tool.

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 100%, so both 'id' and 'fields' (including the '_ALL' option) are already documented in the schema. The description adds no format, example, or semantics beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Fetch a single issue') and clarifies the domain with '(support/service ticket)', which disambiguates from other record types like tasks or jobs. The word 'single' implicitly contrasts with list_issues, though it never names the sibling explicitly.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer this is for retrieving one issue by id rather than listing many, but the description states no when-to-use condition, no prerequisites, and never names list_issues as the alternative.

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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