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

The description discloses a key side effect: 'This will automatically mark text within this project as requiring reconverting where the new dictionary would apply or the old one no longer does.' This goes beyond the annotations, which only provide hints with no safety information. It also mentions bulk execution capabilities, adding useful behavioral context.

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 concise, with two short paragraphs. The main purpose is stated first, and the bulk support is mentioned separately. Every sentence provides useful information without fluff or repetition.

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?

Given the tool's complexity (5 parameters, no output schema, no schema descriptions), the description covers the core action and a notable side effect, but lacks details on parameter usage, return values, prerequisites, and how it interacts with other dictionary tools. It is adequate but not fully complete.

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 has 0% description coverage, so the description must compensate. It only mentions that 'accepts project_ids for batched execution,' which explains one param. It does not explain other parameters like 'pronunciation_dictionary_locators' or 'invalidate_affected_text', nor their structure or required fields. The description adds minimal value for parameter understanding.

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 clearly states the tool's main action: 'Create Pronunciation Dictionaries' and 'Create a set of pronunciation dictionaries acting on a project.' It also mentions the side effect of marking text for reconversion. However, the tool name says 'update' while the description says 'create', which could cause confusion, so it is not perfectly clear.

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 implies the tool is for associating pronunciation dictionaries with a project, and mentions bulk support ('accepts project_ids'). However, it does not explicitly contrast with sibling tools like 'elevenlabs_patch_pronunciation_dictionary' or state when to prefer this over alternatives. The guidance is implicit rather than explicit.

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