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minia2a-mcp

x402-pdf-text

Pdf Text: Extract text from PDF files. 🆓 5 free trial calls per registered wallet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pdfNoPdf to process

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does add one useful piece of context — ' free trial calls per registered wallet' — which signals a wallet requirement and a billing boundary beyond a generic read operation. But it does not disclose the return format, whether scanned PDFs are processed (OCR), input size limits, failure behavior, or what happens after the trial is exhausted. For a tool with zero annotation coverage, this is a significant gap.

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

Conciseness3/5

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

Two short sentences with the core function front-loaded, and the trial-call note is genuinely useful non-redundant info. However, the 'Pdf Text:' prefix duplicates the tool name and wastes tokens, and the emoji is noise. It is compact but not tightly edited.

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?

With one prameter, no output schema, and no annotations, the description is the only source of operational detail — and it leaves material questions open: how to supply the PDF, what the response looks like, whether a wallet must be registered before calling, and how billing works past the five-free-call limit. An agent could guess the happy path but has no info about prerequisites or edge cases.

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% (the sole parameter `pdf` is documented as 'Pdf to process'), so the baseline is 3. The tool description adds nothing beyond the schema. Crucially, neither the schema nor the description clarifies whether the `pdf` value should be a URL, a file path, base64 content, or raw bytes — an ambiguity the description could have resolved but did not.

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 states a specific verb and resource: 'Extract text from PDF files.' An agent can tell what the tool does. However, it earns a 4 rather than a 5 because the sibling list includes x402-pdf, x402-publish-...-paperknife-pdf-to-js, and x402-html-text-extract, and the description provides no differentiation from those PDF/text-related tools. The redundant 'Pdf Text:' prefix restates the tool name without adding clarity.

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?

There is no statement of when to use this tool versus alternatives, and no exclusions are named. With hundreds of siblings including x402-pdf, x402-web-scrape, and x402-html-text-extract, an agent has no basis in the description for choosing this tool over them. The intended use case (PDF file in, text out) is only implicitly recoverable from the name and one-line description.

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

D1.6/5.0
Disambiguation1/5

The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.

Naming Consistency2/5

Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.

Tool Count1/5

1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.

Completeness2/5

The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.

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