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fitter_run_url

Fetch a Fitter scraping config from an HTTP URL, execute it with optional input, and return extracted data as JSON.

Instructions

Run a Fitter scraping/parsing config downloaded from an HTTP(S) URL (JSON or YAML) and return the extracted data as JSON. Same as fitter_run but fetches the config from a remote location, e.g. a raw GitHub link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesHTTP(S) URL of a Fitter config (JSON or YAML) with top-level keys: item (required), limits, references.
inputNoOptional input value (plain string or JSON), available in the config via {{{FromInput=.}}} or {{{FromInput=json.path}}} placeholders.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states the tool downloads config from a URL and returns JSON, but omits important details such as network error handling, timeout limits, authentication, size restrictions, or what happens with invalid configs. This lack of transparency could lead to unexpected failures.

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 two concise sentences with no unnecessary words. It front-loads the action and result, then adds the key distinction from 'fitter_run'. Every sentence provides useful information.

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?

The tool involves remote fetching and parsing, but the description does not detail the return format beyond 'extracted data as JSON', nor does it explain error conditions or required permissions. With no output schema, more detail would be beneficial for an agent to anticipate the response structure.

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 input schema already covers both parameters with descriptions (100% coverage). The description adds value by specifying the required top-level keys of the config ('item', 'limits', 'references'), which aids in understanding the expected structure beyond the schema.

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 runs a Fitter config from an HTTP(S) URL and returns JSON data. It explicitly distinguishes itself from 'fitter_run' by noting the remote fetching behavior, making the purpose specific and differentiated from siblings.

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 indicates when to use this tool over 'fitter_run' (remote vs local config) and gives an example (raw GitHub link). However, it does not explicitly mention when not to use it or alternatives like 'fitter_run_file', though the context from the name and sibling list provides some guidance.

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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