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0xfabrica

Twenty CRM MCP

by 0xfabrica

Restore multiple Twenty CRM records

twenty_restore_records
Idempotent

Restore soft-deleted records in Twenty CRM by applying a filter to recover deleted companies, people, opportunities, and more.

Instructions

Restore soft-deleted records matching a required filter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoRelation depth: 0 for the record only, 1 for direct relations.
entityYesTwenty object name. Prefer companies, people, opportunities, tasks, and notes for normal CRM work.
filterYesTwenty filter, for example name[ilike]:"%acme%" or createdAt[gte]:"2026-01-01".
response_formatNoOutput format. JSON is best for follow-up tool calls; markdown is easier to read.json
Behavior3/5

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

Annotations already cover safety: not read-only, not destructive, idempotent, open world. The description adds no extra behavioral context beyond 'restore soft-deleted records'. 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?

Single sentence with no wasted words. It is front-loaded and efficient, though the extreme brevity slightly detracts from completeness.

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 batch operation with 4 parameters and no output schema, the description lacks return value info, error behavior, or side effects. The filter mechanism and depth parameter are schema-documented but the description does not tie them together.

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 100% with descriptions for all 4 parameters. The tool description adds no parameter-level meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 clearly states the verb 'Restore', the resource 'soft-deleted records', and the mechanism 'matching a required filter'. It distinguishes from siblings like the singular 'restore_record' and the opposite 'batch_soft_delete_records'.

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?

The description implies usage for restoring soft-deleted records with a filter but provides no explicit guidance on when to use this batch variant over the singular 'restore_record' or other siblings. No when-not-to-use or alternative context.

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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