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octoco-ltd

SheetsData MCP

by octoco-ltd
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JavaScript
Remote

check_extraction_status

Read-onlyIdempotent

Monitor the extraction progress of datasheet parts. Check if status is ready to read or requires retry.

Instructions

Check the extraction status of one or more parts. Free. Each entry includes the current extraction step, elapsed seconds, and document ID.

Use after prefetch_datasheets or after read_datasheet triggers a new extraction.

Recommended polling cadence: every 5-10 seconds. Extraction typically takes 30s-2min for new parts, so polling faster than every 5s wastes calls. Stop polling once status is 'ready', 'failed', 'no_source', or 'unsupported'.

DATASHEET STATUS VALUES:

  • 'ready' — extracted and indexed; call read_datasheet, search_datasheets, or analyze_image.

  • 'extracting' / 'in_progress' / 'queued' / 'pending' — extraction running or scheduled. Poll check_extraction_status every 5-10s until 'ready' or 'failed'. Typical time: 30s-2min.

  • 'not_extracted' — known part but datasheet hasn't been fetched yet. Trigger it via prefetch_datasheets (cheapest) or by calling read_datasheet (auto-triggers on first read).

  • 'no_source' — we couldn't find a public datasheet URL for this MPN. First, retry prefetch_datasheets in 10-30s (the URL resolver re-runs and often finds a source on the second pass). If still 'no_source', the agent can upload the PDF manually via request_datasheet_upload + confirm_datasheet_upload (see those tools). Org-uploaded datasheets are private to the org.

  • 'unsupported' — PDF exists but can't be extracted (scanned image-only, encrypted, or corrupted). Upload a clean text-based PDF via request_datasheet_upload to override.

  • 'failed' / 'error' — extraction errored. The response includes the error reason. Retry via prefetch_datasheets or escalate to support.

  • 'rejected' — input wasn't a real MPN (bare value like '100nF', description, or reference designator). Fix the input and re-call.

  • 'deduplicated' — another part in the family already has this datasheet; same content is returned under the primary MPN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
part_numbersYes1-20 MPNs to check. Must be specific manufacturer part numbers, not values or descriptions.

Tool Definition Quality

A4.8/5.0
Behavior5/5

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

Annotations already mark it as read-only and idempotent. The description adds rich behavioral context: free operation, typical extraction time (30s-2min), recommended polling interval, and detailed status values with expected actions. No contradictions.

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

Conciseness4/5

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

Well-structured with a brief intro, usage guidance, and a detailed status table. Slightly long but every sentence adds value. Front-loads key info efficiently.

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

Completeness5/5

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

No output schema, but description covers expected response fields (status, step, elapsed seconds, document ID, error reason). All statuses are documented with actionable guidance. Given the tool's simplicity, the description is fully complete.

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?

Single parameter 'part_numbers' with 100% schema coverage. Description adds constraint ('must be specific manufacturer part numbers, not values or descriptions') and ties status 'rejected' to invalid input, providing meaningful context 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?

Clearly states it checks extraction status of parts. The description specifies it is for polling after triggering extraction, and distinguishes it from siblings like read_datasheet and prefetch_datasheets by focusing on status retrieval.

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

Usage Guidelines5/5

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

Explicitly tells when to use (after prefetch_datasheets or read_datasheet), polling cadence (every 5-10 seconds), and when to stop (status becomes ready/failed/etc.). Also mentions alternatives for different statuses, such as retrying or uploading.

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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