get_word_completion

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions only the core action ('Get') and does not disclose any additional behavioral traits such as read-only nature, response format, rate limits, or whether any input validation applies. It is a minimal statement with no context beyond the basic purpose.

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, focused sentence that is easy to parse and front-loaded with the key action. It is appropriately concise for a simple one-parameter tool. However, it does lean toward under-specification rather than deliberate conciseness, which prevents a 5.

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 has no annotations, no output schema, and a large set of sibling tools, the description provides only the barest context. It does not clarify what form the autocomplete suggestions take, whether the prefix must be normalized, or how this tool relates to nearby tools like search or get_lexicon. An agent would still be uncertain about when to select this tool over alternatives.

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% and the parameter 'prefix' is well described in the schema as 'The Hebrew prefix to autocomplete.' The tool description adds no additional parameter meaning beyond repeating the topic ('Hebrew words'). This aligns with the baseline score of 3 when the schema handles parameter documentation adequately.

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 a specific verb and resource: 'Get autocomplete suggestions for Hebrew words.' It is unambiguous about the tool's function. However, it does not explicitly distinguish itself from sibling tools like get_text or get_lexicon, though the unique 'autocomplete' purpose makes it reasonably identifiable.

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?

There is no guidance on when to use this tool versus alternatives or what prerequisites might exist. The description only states what it does, leaving the agent to infer usage from the name and context. No exclusions or alternative tool mentions are provided.

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