hash_input
Computes the SHA-256 hash of the provided input string
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | The string to hash |
Computes the SHA-256 hash of the provided input string
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | The string to hash |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden. 'Computes the SHA-256 hash' implies a deterministic, side-effect-free transformation, which is the key behavioral fact, but it does not state the output encoding (hex vs base64, casing) or whether the operation has any limits.
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?
A single twelve-word sentence with the action and algorithm front-loaded and zero redundancy. Nothing could be removed without losing information.
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?
The tool is trivially simple (one required string), so the description is nearly sufficient, but with no output schema it leaves the return value unspecified — an agent cannot tell whether it receives a hex digest, a prefixed string, or a byte array.
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 single property is documented as 'The string to hash'. The description's phrase 'the provided input string' adds no meaning beyond the schema, so the baseline of 3 applies.
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?
States a specific verb ('Computes'), a specific algorithm ('SHA-256'), and the resource ('the provided input string'). None of the siblings (batch_process, summarize_text, generate_image, etc.) overlap with hashing, so no differentiation is required; an agent knows exactly what this does from the first clause.
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 when-to-use or when-not-to-use guidance, and no alternatives are named. For a single-purpose utility with no plausible sibling overlap the intended use is strongly implied, but an agent gets no stated conditions (e.g., input size limits, encoding expectations) that would guide a decision.
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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