toolkit-mcp-server: generate id

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

Annotations only declare readOnlyHint=true and idempotentHint=false. The description enriches this by clarifying that the result is cryptographically random, that the ids array always contains exactly count values and is never truncated, and that batches for uuid_v7/ulid are monotonic and sorted. These behavioral details go beyond what annotations provide, though it does not mention failure modes or performance characteristics.

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 dense paragraph with zero filler. It front-loads the core purpose, then details types and count, then adds behavioral guarantees and a cross-reference to a related tool. Every sentence earns its place and the structure is logical.

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 only 2 parameters, 100% schema coverage, and a provided output schema, the description is complete. It covers the purpose, usage, parameter semantics, behavioral guarantees, and even a downstream use case. There is nothing an agent needs to know to call it correctly that is missing.

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% description coverage for both parameters. The description adds value by explaining the semantic difference between uuid_v4, uuid_v7, and ulid (including sortability), the default behavior, and the monotonic ordering within a batch — none of which are in the schema descriptions. It also clarifies the count semantics (exact return size).

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 opens with a specific action ('Mint cryptographically-random identifiers') and a precise resource ('platform CSPRNG'), and immediately distinguishes it from the alternative of model-generated values. It also names the three output formats with their distinct properties, so an agent can clearly tell this tool apart from siblings like toolkit_hash_value or toolkit_generate_qr.

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?

It explicitly states when to use this tool ('IDs that must be unpredictable') and when not ('unlike model-generated values'), and it names a concrete downstream use case (feed ids[0] into toolkit_generate_qr). This leaves no ambiguity about the appropriate context of use.

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