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read_material_datasheet

Get extraction rules and the field catalog to parse material datasheets, then fingerprint the text and build a structured material profile.

Instructions

Get the extraction rules + field catalog (and fingerprint your text).

Kiln Business would verify the quoted datasheet values, build a structured material profile, and keep it in your ingested-materials library. Requires Kiln Business. Upgrade: https://kiln3d.com/pricing?src=agent&tool=read_material_datasheet

Input Schema

NameRequiredDescriptionDefault
textNoDefault: "".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description must carry the full burden, and it does disclose one genuinely useful trait: a Kiln Business tier gate. However it leaves the side-effect profile ambiguous — the name says 'read' but 'fingerprint your text' implies state being written or recorded, and nothing states idempotency, caching, or what happens to the submitted text.

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?

The first sentence is front-loaded and useful, but the remaining three lines are commercial copy — a product pitch, a tier notice, and a URL — that do not help the agent invoke the tool correctly.

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?

For a tool with no annotations, no output schema, and a nearly undocumented parameter, the description should explain what comes back (rules shape, catalog fields, fingerprint value) and whether calling it mutates anything. It instead spends half its length on an upgrade link, leaving an agent unable to predict the response.

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 nominally 100%, but the single parameter's schema description is only 'Default: ""', which conveys nothing, so the description must compensate. The parenthetical 'fingerprint your text' hints that the text is the material being fingerprinted, but adds no format, length, or source guidance; baseline 3 applies.

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 lead sentence gives a specific verb+resource: fetch extraction rules and a field catalog, plus fingerprinting the supplied text. But it never reconciles that with the tool name (read_material_datasheet) or with the nearest siblings ingest_material_datasheet and list_ingested_materials, so the agent cannot tell which one starts an ingestion flow versus merely fetching rules.

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 when-to-use guidance at all: no mention of a prerequisite ingestion step, of when to call this versus ingest_material_datasheet, or of what to do with the returned rules. The only conditional is the tier requirement, which is about eligibility rather than usage.

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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