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Add, rename or remove your fields

save_your_fields
Destructive

Adds, renames or removes the team's own fields on a collection. Removing a field deletes its values.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "expected_version": "<expected_version>",
      "fields": "<fields>",
      "collection_id": "<collection_id>"
    },
    "name": "save_your_fields"
  }
}

Input Schema

NameRequiredDescriptionDefault
fieldsYes
collection_idYes
expected_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The annotations already flag destructiveHint=true and readOnlyHint=false, so the description gets credit for specifying exactly what is destroyed: removing a field deletes its values. However, it omits the most consequential behavioral question for a 'save ... array' tool — whether the supplied fields list replaces the entire existing field set or merges into it — and says nothing about expected_version conflict behavior.

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?

Two sentences, front-loaded with the operations and followed immediately by the destructive consequence — no filler. It could be tightened only slightly, but the brevity comes at the cost of the missing semantics noted above rather than from elegant compression.

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 destructive bulk-mutation tool with three required parameters, zero schema descriptions, no output schema and a nested field object type, the description is far too thin. Replace-vs-merge semantics, expected_version meaning, and the key/label/type shape of each field are all absent, leaving the agent to infer behavior from an undocumented schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the full burden and adds almost nothing about the three required parameters. It never explains that fields is a bounded array (max 30) of {key, label, type, options} objects, nor what expected_version means (optimistic concurrency / stale-write rejection), nor what collection_id must identify.

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 description gives concrete verbs (adds, renames, removes) and a specific resource: the team's own fields on a collection. That is enough to distinguish it from list_your_fields, though it never explicitly contrasts with the singular set_your_field sibling, which is the realistically confusable alternative.

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 and no mention of alternatives, despite a sibling named set_your_field that plausibly writes a single field. An agent must guess whether to call save_your_fields or set_your_field, and no prerequisites or call-ordering context (e.g. needing collection_id from list_collections) is provided.

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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