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Extend MCP

Show the authenticated identity and granted targets

get_me
Read-onlyIdempotent

Return the connected organization, the credential in use, and the granted workspace + environment ("TEST" or "PRODUCTION") targets — exactly the values the required workspaceId/environment arguments on targeted tools accept. Always available; call this first, and again whenever a tool returns UNAUTHORIZED or NOT_FOUND unexpectedly, or after this connection's access changes — resources live per-workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
objectYes
credentialYes
organizationYes
grantedTargetsYes

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds substantial behavioral context beyond that: an availability guarantee ('Always available'), ordering guidance, troubleshooting scenarios tied to error codes, and the cross-tool contract that its return values are exactly what targeted tools' workspaceId/environment arguments accept.

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 dense sentences with zero filler. The first sentence front-loads the return contract, and the second delivers all usage guidance. Every clause earns its place, including the parenthetical enum values and the per-workspace rationale.

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?

Given zero parameters, rich annotations, and an existing output schema (which relieves the description of explaining return shapes), nothing is missing. The description covers what it returns, the values' meaning for other tools, when to call it, and why its results can go stale. An agent has everything needed to invoke and trust this tool.

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?

There are zero parameters, so the baseline is 4; there is nothing for the description to clarify about inputs. It instead adds cross-tool semantic value by explaining that the returned targets are precisely the values other tools' required arguments accept, which is more useful than parameter documentation for this introspection tool.

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 opens with a specific verb and resource ('Return the connected organization, the credential in use, and the granted workspace + environment targets') and names the exact values returned. It clearly distinguishes itself from the large get_*/list_* sibling cluster, which all retrieve domain resources, whereas this tool returns the caller's own identity and granted scope.

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?

Explicit operational guidance is given: 'Always available; call this first,' plus two concrete re-call triggers — unexpected UNAUTHORIZED/NOT_FOUND errors and access changes — with the rationale that 'resources live per-workspace.' This is stronger than merely stating context; it tells the agent exactly when to invoke this tool.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct resource+action combination, and the descriptions actively disambiguate potential overlaps (e.g., extract_data vs parse_document, detect_form_fields vs edit_pdf, get_file vs get_file_upload). The consistent verb_noun prefix pattern makes the semantic boundary of every tool immediately recognizable.

Naming Consistency4/5

The dominant verb_noun pattern is highly consistent across all nine domains (list_*, get_*, create_*, update_*, delete_*, run_*, get_*_run, get_*_batch, publish_*_version). Minor deviations exist: deploy_workflow_version vs publish_*_version for the same freeze-a-draft concept, and get_form_detection_run doesn't mirror its detect_form_fields counterpart.

Tool Count2/5

86 tools is a very heavy agent-facing surface, well past the 25+ threshold. The count is inflated by the near-identical 13-tool lifecycle repeated across extract, classify, and split (each with list/get/create/update/publish/runs/batches/versions), and while each tool has a distinct purpose, the sheer volume makes selection harder.

Completeness4/5

Core lifecycles are thoroughly covered: create → update → publish → run (single and batch) → poll → cancel → delete-run → list runs/versions. Notable gaps include no delete tool for extractors, classifiers, splitters, workflows, or evaluation sets, and edit/form-detection runs have no list endpoint (documented workaround: keep run IDs). These are hygenic gaps that don't block primary workflows.

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