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modify_api

Destructive

Executes a method of the Telerivet REST API (https://telerivet.com/api/rest) that creates or updates data in Telerivet.

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": {
      "method_name": "<method_name>",
      "arguments": "<arguments>"
    },
    "name": "modify_api"
  }
}

Input Schema

NameRequiredDescriptionDefault
argumentsYesMethod arguments (see get_method_schema for parameter details)
method_nameYesAPI method name (see list_api_methods)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true and openWorldHint=true, so the risk profile is structured-visible. The description corroborates this with 'creates or updates data' and links the REST API docs but adds no new behavioral detail such as permission requirements, whether updates are partial or full-replacing, or whether a failed call is atomic. Given the annotation coverage, a 3 reflects modest added value rather than a gap or a contradiction.

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 front-loaded sentence with zero filler; the verb and the mutation constraint appear before the reference URL. It is arguably too compressed for a tool with a 50-value enum, but it contains no wasted wording.

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 nested, generic-dispatch tool with a 50-value method enum, the description covers only the top-level 'what'. It leaves the agent to infer the discovery workflow for arguments (get_method_schema) and the Side effect of a destructive call, though the absence of an output schema means return values need not be described.

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%, so both method_name and arguments are already documented, including the pointers to list_api_methods and get_method_schema. The description adds no meaning beyond the schema, so the baseline of 3 applies rather than anything higher.

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 action (executes an API method) and constrains it to the mutating subset ('creates or updates data'), which cleanly separates it from read_api, delete_api and send_api siblings. The resource being acted on stays abstract ('a method of the Telerivet REST API'), so the agent knows the category but not the concrete objects touched.

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?

Implicit routing guidance is present: 'creates or updates' tells the agent to prefer this over read/delete/send tools when mutating state. However, no explicit when-to-use statement, no mention of the prerequisite chain (list_api_methods to pick a method, get_method_schema to learn its arguments), and no statement of when not to call it.

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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