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RapierCraft

alterlab-mcp-server

by RapierCraft

alterlab_estimate_cost

Estimate the cost of scraping a URL before executing the scrape. Provides predicted tier, cost per request, and confidence level to avoid unexpected charges.

Instructions

Estimate the cost of scraping a URL without actually scraping it. Returns the predicted tier, cost per request, and confidence level. Use this to check costs before running expensive scrapes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to estimate scraping cost for
modeNoScraping modeauto
formatsNoOutput formats to include in the estimate. Affects cost prediction accuracy. 'json_v2' returns a structured section tree. 'rag' returns chunked text for retrieval-augmented generation. 'content' returns body_markdown + content_hash + images + links. 'raw' returns the response body byte-for-byte with no transformation.
render_jsNoEnable JS rendering (forces Tier 4 minimum — no separate add-on charge)
use_proxyNoInclude premium proxy cost (+1 credit)
Behavior3/5

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

With no annotations, the description carries the burden. It states the tool does not actually scrape, implying it is read-only, but does not disclose potential request behavior or rate limits. More detail would improve transparency.

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?

Two clear sentences, front-loaded with the main verb and resource. Every word adds value with no redundancy.

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

Completeness4/5

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

Despite no output schema, the description mentions return values (tier, cost, confidence). For a simple estimation tool with well-documented parameters, it is reasonably complete.

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 coverage is 100%, and each parameter has a description. The tool description adds no extra meaning beyond what the schema provides, so baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool estimates cost without scraping, and specifies the return values (tier, cost, confidence). It distinguishes from sibling tools like alterlab_scrape by focusing solely on cost estimation.

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

Usage Guidelines4/5

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

The description explicitly recommends using this tool before expensive scrapes, providing clear context for when to use it. However, it does not mention when not to use it or name alternative tools.

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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