generate_id

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

With no annotations, the description carries the full burden. It claims to generate 'unique identifiers' but random strings may not be unique if length is short, which is a potential behavioral inaccuracy. It also does not disclose that when count > 1, the return value is likely an array (not a single string), nor does it mention any randomness source or side-effect-free nature. For a pure generation tool, the description lacks detail about output shape and the uniqueness caveat.

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, concise sentence that immediately states the function and options. It front-loads the core purpose and lists variants, with no filler or unnecessary detail. Every word earns its place, and it is easy to scan. This is exemplary brevity.

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 tool with no output schema, the description does not specify the return format (e.g., a string vs. an array when count > 1). It also omits any details about error cases (e.g., invalid charset). However, the tool is simple and the schema covers parameter constraints (max count, defaults). The main missing element is the output shape, which is not explained. This is a moderate gap given the simplicity of the tool.

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%, meaning every parameter (type, count, length, charset) is fully described in the schema. The description adds only the mention of 'configurable length and charset', which is redundant. Since the schema already provides defaults and constraints (e.g., max count 100), the description adds minimal value beyond what an agent can infer from the structured data. Baseline 3 is appropriate.

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 states a specific verb ('Generate'), a resource ('unique identifiers'), and enumerates the types (UUID v4, nanoid, ULID, CUID, random) with configurable length and charset. This clearly distinguishes it from sibling tools like hash, encode_decode, password, and jwt, which serve different purposes. An agent can immediately grasp the tool's function without inspecting the schema.

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 explicit guidance on when to use this tool versus the sibling tools. The description implies it is for generating identifiers, and given the distinct nature of siblings, the use case is fairly obvious. However, it does not mention any specific context or exclusions (e.g., 'use this when you need a unique ID, not for cryptographic hashing'). The applicability is implied rather than stated.

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