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Get a record

get_record
Read-only

Read one record by id.

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": {
      "api_key": "<api_key>",
      "collection": "<collection>",
      "record_id": "<record_id>"
    },
    "name": "get_record"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyYesProject manage key (pro_...) returned by create_project. Public keys (pub_...) are read-only.
record_idYes
collectionYesCollection slug, e.g. "products"

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered structurally. The description adds nothing beyond restating that it reads: it does not say what happens when the id is missing, whether a not-found case returns empty or errors, or which key type is required.

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?

A single short sentence with no filler, and the key constraint ('by id') is front-loaded. It is efficient, though its brevity borders on under-specification rather than purposeful compression.

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 simple three-parameter read tool with annotations and a mostly documented schema, the description is adequate to call the tool correctly. It omits return shape, not-found behavior, and authentication nuances, but annotations and the api_key description partly compensate.

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 67%, with api_key (including the pro_/pub_ distinction) and collection already documented in the schema. The phrase 'by id' ties the request to record_id but adds no format or lookup semantics beyond that, so the baseline of 3 is appropriate.

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 names a specific verb and resource ('Read one record by id'), which clearly separates it from write siblings like create_record, update_record, and patch_record. It does not explicitly name an alternative, but the read-single semantics are unambiguous.

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 or when-not-to-use guidance, and no routing to alternatives such as list_records (for multiple records) or patch_record (for changes). The agent must infer usage purely from the name and the 'by id' phrase.

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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