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Parse Scifinder Rdf

parse_scifinder_rdf

Parse SciFinder RDF to extract chemical data, optionally enrich CAS numbers via network lookup.

Instructions

Parse SciFinder RDF and optionally enrich CAS data over the network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_pathYes
output_pathNo
resolve_casNo
confirm_pubchemNo
Behavior2/5

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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It mentions 'optionally enrich CAS data over the network', which hints at network activity, but doesn't explain what that entails (e.g., external calls, data validation, side effects). It also fails to mention output format, error behavior, or limits. This is a significant gap for a parsing tool.

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

Conciseness2/5

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

The description is a single short sentence, which is technically concise, but it is under-specified rather than efficiently detailed. It omits essential information about parameters and behavior, so its brevity does not contribute to usability. The one useful clause about enrichment is buried at the end without front-loading critical details.

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

Completeness1/5

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

Given four parameters, no output schema, and no annotations, this description is severely incomplete. It does not explain what the tool returns, how to use the parameters, what 'enrichment' does, or any operational constraints. An agent cannot reliably call this tool correctly with only this description.

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

Parameters1/5

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

The input schema provides zero descriptions for the four parameters (input_path, output_path, resolve_cas, confirm_pubchem), and the description does not compensate. The phrase 'enrich CAS data over the network' loosely relates to resolve_cas and confirm_pubchem, but it offers no specifics about what each parameter controls or expects. With 0% schema coverage, the description fails to give agents the parameter information they need.

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 identifies a specific verb 'Parse' and a specific resource 'SciFinder RDF', and adds 'optionally enrich CAS data over the network' to indicate a secondary capability. This distinguishes it from other parse tools like parse_analysis_file or parse_reaction by naming the unique data source. However, it doesn't explicitly contrast with siblings, so it's not a perfect 5.

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?

The description provides no guidance on when to use this tool versus its many siblings (parse_analysis_file, parse_reaction, resolve_name, etc.). It doesn't mention use cases, prerequisites, or exclusions. An agent would have to infer from the name alone that this is for SciFinder RDF files, which is not explicit 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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