Skip to main content
Glama
SergiFuster

MCP Custom Tools Server

by SergiFuster

generate_hash

Generate secure hash values from text using algorithms like MD5, SHA1, SHA256, or SHA512 for data verification and integrity checks.

Instructions

Generar hash de un texto

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesTexto para generar hash
algorithmNoAlgoritmo de hashmd5
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('generar hash') but lacks details on output format, error handling, performance, or security implications (e.g., hash collisions for weak algorithms like MD5). This is a significant gap for a tool with no annotation coverage.

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?

The description is a single, efficient sentence in Spanish ('Generar hash de un texto') that directly conveys the purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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

Completeness2/5

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

Given no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., hash string format), potential errors, or usage constraints, which are crucial for an AI agent to invoke it correctly in various contexts.

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 description coverage is 100%, with clear descriptions for both parameters ('text' and 'algorithm'), including an enum for algorithms. The description doesn't add extra meaning beyond the schema, such as explaining algorithm trade-offs or text encoding, so it meets the baseline for high schema coverage.

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

Purpose4/5

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

The description 'Generar hash de un texto' clearly states the verb ('generar') and resource ('hash de un texto'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'calculate_file_hash' or 'encode_decode', which might have overlapping functionality, so it doesn't reach the highest score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. For example, it doesn't specify if this is for text hashing only (vs. file hashing with 'calculate_file_hash') or when to choose different hash algorithms, leaving the agent without context for tool selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SergiFuster/mcp-custom-tools'

If you have feedback or need assistance with the MCP directory API, please join our Discord server