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ScraperWatch

compare_scraping_apis

Saved scraping API aggregate summary plus a historical matched ScraperAPI/ScrapingBee comparison with separate standard/premium denominators, content checks, latency population, limitations and affiliate disclosure. No vendor requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose key traits: the data is 'saved'/'historical' and 'No vendor requests' is made, which tells the agent this is a cached, read-only-style operation. It also flags 'limitations and affiliate disclosure' in the output, but says nothing about freshness, update cadence, or access requirements.

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?

It is a single sentence, which is economical, but it reads as a run-on list of output artifacts ('content checks, latency population, limitations and affiliate disclosure') rather than a front-loaded statement of purpose. The action is not front-loaded; the content inventory is.

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?

With no output schema, the description usefully enumerates what the response contains and notes the absence of vendor requests, which is needed context. However, for a comparison tool with several confusingly similar siblings and no annotations, the lack of any usage routing or freshness/caveat detail leaves meaningful gaps.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4. There are no arguments whose semantics the description could clarify or omit.

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

Purpose3/5

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

The description names the specific resources (ScraperAPI/ScrapingBee comparison) and distinguishes itself from siblings like compare_proxy_providers, but it is framed as a description of returned data rather than a clear verb+resource statement of what the tool does. An agent can infer it surfaces a saved comparison, but the purpose is buried in a dense noun phrase.

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 explicit when-to-use or when-not-to-use guidance, and no alternatives are named despite several sibling 'compare_*' and 'best_scraper' tools that could be confused with it. The only implicit cue is 'No vendor requests,' which hints it uses saved data rather than live lookups.

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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