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paladini

devutils-mcp-server

hash_bcrypt

Generate bcrypt hashes for secure password storage by converting input strings into encrypted formats with configurable salt rounds.

Instructions

Generate a bcrypt hash of the given input string. Useful for password hashing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe string to hash
roundsNoNumber of salt rounds (4-16, default: 10)

Implementation Reference

  • Implementation of the 'hash_bcrypt' tool, including its registration, input validation schema, and the handler function that generates the bcrypt hash.
    server.tool(
      "hash_bcrypt",
      "Generate a bcrypt hash of the given input string. Useful for password hashing.",
      {
        input: z.string().describe("The string to hash"),
        rounds: z
          .number()
          .int()
          .min(4)
          .max(16)
          .default(10)
          .describe("Number of salt rounds (4-16, default: 10)"),
      },
      async ({ input, rounds }) => {
        const hash = await bcrypt.hash(input, rounds);
        return {
          content: [{ type: "text" as const, text: hash }],
        };
      }
    );
Behavior2/5

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

With no annotations, the description carries full behavioral burden but only states the obvious. Critical crypto behavior missing: doesn't disclose that bcrypt generates unique salts (same input produces different output strings), computational cost scales with rounds, or hash format/prefix details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two efficient sentences with zero waste. First sentence defines operation, second states primary use case. Appropriate length for a 2-parameter utility function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a simple hashing tool with complete input schema, but lacks behavioral details (salting characteristics) and sibling differentiation that would help an agent understand the hash-verify relationship. No output schema exists but return value is somewhat predictable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with complete param descriptions ('The string to hash', 'Number of salt rounds'). Description mentions 'given input string' but adds no semantic detail beyond the schema. Baseline 3 appropriate for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Excellent clarity: 'Generate a bcrypt hash' provides specific verb and resource type. The mention of 'bcrypt' specifically distinguishes this from sibling hash tools (hash_md5, hash_sha256) and implies this is the generation counterpart to hash_bcrypt_verify.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides implied usage context ('Useful for password hashing') but lacks explicit when-not guidance or reference to sibling hash_bcrypt_verify for verification. Does not mention that this is one-way hashing and verification requires the separate verify tool.

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

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