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Glama

sigtap Agent Tools

hash_text

SHA-256/384/512, hex, base64, base64url and CRC32 of a UTF-8 string ($0.001 USDC on Base, x402)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesUTF-8 text to hash

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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 adds the non-obvious $0.001 USDC fee and x402 protocol, which is essential operational context, and lists the concrete operations performed. It does not explicitly state the output format or whether all listed values are returned at once.

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 compact sentence that packs all essential information—algorithms, encodings, input type, and cost—without any filler. Every element earns its place.

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?

For a simple one-parameter tool with no output schema, the description conveys the operation and cost, but it never explicitly defines the return value or structure. An agent may not know whether to expect a single hash string, an object containing multiple hashes, or a selectable format.

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?

The schema fully describes the single 'text' parameter as 'UTF-8 text to hash' (100% coverage), so the baseline is 3. The description only restates 'UTF-8 string' and adds no new parameter-level detail beyond what the schema already provides.

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 names specific algorithms and encodings (SHA-256/384/512, hex, base64, base64url, CRC32) applied to a UTF-8 string, which clearly identifies what the tool does and differentiates it from sibling text utilities like slugify or jwt_decode. It lacks an explicit verb such as 'computes' or 'returns', but the noun phrase is unambiguous.

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?

The description implies the tool is for hashing or encoding UTF-8 text, so an agent can infer when to use it. However, it provides no explicit when-to-use guidance, no exclusions, and no comparison to alternative sibling tools. The payment note provides context but not usage selection criteria.

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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TDQS

A3.5/5.0
Disambiguation5/5

Each tool has a clear, non-overlapping purpose: catalog lists the paid tools, and the others cover distinct utilities like crypto pricing, email deliverability, hashing, JWT decoding, regex, slugify, UUID generation, and weather. Even the three email-related tools are clearly separated by description: deliverability audit, score, and template.

Naming Consistency3/5

Most tools follow a lowercase snake_case noun_noun pattern (crypto_price, domain_age, email_grade), but catalog and weather are bare nouns, slugify is verb-based, and jwt_decode is object+verb. The pattern is readable despite the inconsistency, but not uniform.

Tool Count4/5

Thirteen tools is within the reasonable range for a paid micro-tool marketplace, and each tool has its own niche. The presence of a meta-catalog tool plus 12 discrete utilities makes the count feel slightly like a grab-bag, but still well-scoped for the stated purpose.

Completeness4/5

The advertised surface is a catalog of exactly 12 paid tools, and all 12 utilities are present and functional with free preview routes mentioned. There is no obvious missing operation for a stateless utility collection, though the heterogeneous nature of the tools makes completeness less meaningful than for a focused domain server.