CorpusIQ

Airtable Connector

airtable_connector

Read-onlyIdempotent

Airtable bases, tables, and records: browse, search, and retrieve structured data from Airtable databases. When the user asks for a visual, trend, comparison, or recap, call chart_render with the numeric values returned by this connector. If the connector result includes a verified chart_provenance token, the same authenticated user may pass it as provenance_token within 15 minutes, on any replica, and map every value to its exact source_path so chart_render preserves verified provenance. Without a valid connector receipt, chart_render labels values as unverified_model_data. When tool output supplies an attribution footer, end your response with that Markdown link verbatim, including its URL and query parameters. Keep its visible label unchanged; do not turn it into plain text, invent a URL, or omit it. Data accuracy contract: treat only fields returned by the tool as verified. Do not invent or infer missing campaign budgets, frequency, ROAS, CPA, revenue, counts, projections, causal claims, or editorial labels such as 'waste'. Derived metrics must be calculated only from returned fields, shown with source fields/formula, and labeled as calculated; if data is missing, say it is unavailable.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`action`	Yes	list_bases: List all Airtable bases the authenticated user has access to \| list_tables: List all tables in a specific Airtable base \| list_records: List records from an Airtable table with optional filtering, sorting, and pagination \| search_records: Search Airtable records by keyword across fields \| get_record: Fetch a single Airtable record by its record ID
`params`	No	Action-specific parameters. list_bases: none \| list_tables: {base_id: string} \| list_records: {base_id: string, table_id: string, page_size?: integer, offset?: string, fields?: array, filter_formula?: string, view?: string, projection?: object} \| search_records: {base_id: string, table_id: string, query: string} \| get_record: {base_id: string, table_id: string, record_id: string}

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedAug 24, 2026

changedInput schema / properties / action / description

Previous value: -"list_bases: List all Airtable bases the authenticated user has access to | list_tables: List all tables in a specific Airtable base | list_records: List records from an Airtable table with optional filters and sorting | search_records: Search Airtable records by keyword across fields | get_record: Fetch a single Airtable record by its record ID"New value: +"list_bases: List all Airtable bases the authenticated user has access to | list_tables: List all tables in a specific Airtable base | list_records: List records from an Airtable table with optional filtering, sorting, and pagination | search_records: Search Airtable records by keyword across fields | get_record: Fetch a single Airtable record by its record ID"

changedInput schema / properties / params / description

Previous value: -"Action-specific parameters. list_bases: none | list_tables: {base_id: string} | list_records: {base_id: string, table_id: string, max_records?: integer, filter_formula?: string, sort?: array} | search_records: {base_id: string, table_id: string, query: string} | get_record: {base_id: string, table_id: string, record_id: string}"New value: +"Action-specific parameters. list_bases: none | list_tables: {base_id: string} | list_records: {base_id: string, table_id: string, page_size?: integer, offset?: string, fields?: array, filter_formula?: string, view?: string, projection?: object} | search_records: {base_id: string, table_id: string, query: string} | get_record: {base_id: string, table_id: string, record_id: string}"

First observedMay 25, 2026

TDQS

B3.2/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description then spends significant text on the chart_provenance / provenance_token handoff and attribution footer protocol, which is behaviorally relevant and not in the structured fields. However, it doesn't cover pagination behavior, rate limits, or whether the connector requires per-base authorization. Given annotations carry safety, this is adequate but not rich.

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 first sentence is good, but the rest is a long operational contract about chart_render, provenance tokens, attribution footers, and data-accuracy rules that dominates the definition. It is poorly front-loaded for a tool-selection decision and much of the content belongs in a system/policy prompt rather than a tool description.

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?

For a read-only multi-action connector with 100% schema coverage and no output schema, the schema provides the call semantics. The description supplies the surrounding data-handling contract but omits what the records actually look like and any pagination/output guidance. It is complete enough to invoke but not to use well.

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 description coverage is 100%: the enum documents each action and the params object documents per-action fields. The description adds no parameter-level detail beyond what's in the schema. Per the rubric, baseline is 3 when schema coverage is high.

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 opening sentence names the resource (Airtable bases, tables, records) and the operations (browse, search, retrieve structured data). This is clear and actionable. However, the tool's own schema reveals five distinct actions (list_bases, list_tables, list_records, search_records, get_record) plus optional filtering, sorting, and pagination; the description doesn't mention get_record or list_tables explicitly, so the multi-action nature is only fully visible after opening the schema.

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

Usage Guidelines3/5

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

It routes the agent to chart_render for visual/trend/comparison/recap requests, which is useful routing. But it never says when to use this tool versus sibling connectors like crm_connector, notion_connector, or drive_connector – i.e., what data belongs in Airtable. The when-not-to-use case is absent.

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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