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

Annotation Contradiction: annotations declare destructiveHint=true while the description explicitly calls the operation 'additive'. 'Additive' implies no existing data is destroyed, which directly conflicts with the destructive hint. No other behavioral traits are disclosed.

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?

A single front-loaded sentence states the action and the API endpoint, with a clarifying parenthetical. No redundant content.

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 mutating tool with no output schema, the description leaves gaps: it does not explain return behavior, idempotency, or prerequisites such as file existence. The annotation conflict further reduces the agent's ability to predict side effects.

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?

Schema description coverage is 100%, so all seven parameters are documented in the schema. The description adds the API path confirming projectId is a path parameter, but does not need to explain parameter semantics further.

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?

Description uses a specific verb and resource: 'Adds a source string to a file in a Crowdin project', and reinforces it with the exact API endpoint. This distinguishes it cleanly from sibling tools like crowdin_add_translation.

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?

The description clearly implies when to use it: when a new source string must be inserted into an existing file. It does not explicitly name alternatives or exclusions, so it stops short of 5, but the context is unambiguous.

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