taiga_issue_custom_attributes_get

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

With no annotations, the description carries the full burden for behavioral disclosure. The verb 'Get' implies a read operation, which is a positive signal, but the description does not mention error behavior, authentication needs, or the shape of the returned definition. It is minimally transparent but leaves room for assumptions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with zero waste. Every word contributes to the meaning, and it avoids repeating what the name or schema already convey.

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

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

For a simple getter with one parameter, the description is enough to understand the basic operation, but it lacks detail about the return payload or how it differs from the values endpoints. Since there is no output schema, a little more context would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides 100% coverage for the single parameter 'id' with 'Custom attribute ID'. The description adds no additional parameter context, so the baseline of 3 is appropriate since the schema does the heavy lifting.

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

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

The description 'Get a custom attribute definition for issue' clearly states the verb and resource, and it distinguishes from sibling tools by specifying 'issue' rather than epic, userstory, or task. It is slightly less specific than it could be about the return payload, but the core purpose is unambiguous.

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

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

No guidance is provided on when to use this tool versus alternatives like the list or values endpoints. There are no exclusions, prerequisites, or contextual hints about how this tool fits into a workflow, so the agent must infer usage solely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.