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accelo_get_extension_values

Retrieve extension field values for an Accelo object such as an issue, job, or contract by specifying its type and ID. Use it to fetch custom field data beyond standard object attributes.

Instructions

Get extension field values for a specific object.

Args: object_type: The object type (e.g. "issues", "jobs", "contracts") object_id: The object's ID fields: Additional fields to return

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNo
object_idYes
object_typeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose authentication requirements, error behavior, rate limits, or what the return values look like for this 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 short and front-loaded, with the core purpose stated first and parameters immediately after. Every sentence earns its place, though the argument block is minimally formatted rather than richly structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with three parameters and no output schema, the description covers the basic purpose and parameters. However, it omits return value information and usage context, leaving gaps that would help an agent invoke the tool confidently.

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 0%, so the description must compensate. It lists all three parameters with brief meanings, including useful examples for 'object_type' and a basic explanation of 'object_id' and 'fields', but it remains vague about allowed object_type values and the precise format of 'fields'.

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?

The description states a clear verb and resource: 'Get extension field values for a specific object.' It distinguishes from the sibling 'accelo_set_extension_value' by implication (read vs write), but does not explicitly name or contrast with alternatives.

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

Usage Guidelines2/5

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

No explicit when-to-use guidance, prerequisites, or alternatives are provided. The phrase 'for a specific object' only implies usage and leaves the agent to infer context.

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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