toolkit-mcp-server: hash value

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

Annotations already declare readOnlyHint=true and idempotentHint=true, covering the tool's safety profile. The description adds value beyond these: it reveals the timing-safe nature of compare, security caveats for md5/sha1, and the encoding behavior that prevents decode round-trips for binary blobs. It does not contradict annotations or mention any side effects, so the behavioral disclosure is strong.

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 dense but logically structured, starting with the core purpose, then operation, algorithm, encoding, and a canonical use case. Each sentence carries specific information with minimal fluff. It is slightly longer than necessary but remains efficient, and the front-loaded purpose ensures quick comprehension.

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?

With an output schema present, the description need not explain return values. It covers the key behaviors: operation modes, algorithm choices, encoding implications, and the primary use case. Minor gaps exist (e.g., error behavior for missing expected in compare), but these are covered by the schema's required field and are acceptable for an agent to infer.

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% (each param has a description), giving a baseline of 3. The description enhances this with meaningful additions: algorithm security guidance, operation semantics (timing-safe compare), and inputEncoding purpose (hex/base64 for raw binary). It clarifies the relationship between operation, expected, and inputEncoding, going beyond the bare schema definitions.

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 verb+resource pair: 'Generate a cryptographic digest of a value, or verify a value against an expected digest.' It clearly distinguishes between the two operations (generate/compare) and is unambiguous. The sibling tools (id generation, QR, encoding, geolocation) share no overlap, so the tool's purpose stands apart without needing additional differentiation.

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?

Provides practical context: 'The canonical use is matching a download against a vendor-published checksum.' It also gives explicit algorithm guidance (sha256/sha512 for security, md5/sha1 only for checksum compatibility) and explains when compare is preferable ('constant-time-check ... timing-safe and avoids manual string equality checks'). While it doesn't name alternative tools, there are no direct competitors among siblings, so the guidance is sufficient for appropriate selection.

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