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centia-io

Centia MCP Server

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by centia-io

postCall

Invoke a Centia API method via JSON-RPC. Specify the method name and parameters to execute API calls.

Instructions

Call a JSON-RPC method. The method must exist (see /api/v4/methods).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jsonrpcYesThe version number of the JSON-RPC protocol. Must be exactly "2.0".
idNoClient-supplied request id. If present, must be a string.
methodYesName of the RPC method to call.
paramsNoParameters for the method. For SELECT methods, only one parameter set is allowed.
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states that the method must exist, with no mention of side effects, authentication, rate limits, or what happens on failure. This is insufficient for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two sentences that define the purpose and a key constraint. Every word adds value, and the critical information is front-loaded.

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?

The description lacks information about return values, error handling, or the effect of the call (mutation). Without an output schema, the agent is left guessing about what the tool returns. For a simple RPC call, more context on expected output would be helpful.

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 extra meaning beyond the schema, meeting the baseline for high coverage. No parameter information is missing.

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 'Call' and the resource 'JSON-RPC method', distinguishing it from sibling tools that operate on other resources (e.g., tables, clients) or perform different actions (e.g., delete, get).

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 mentions that the method must exist and references a list of methods, but it does not explicitly compare to alternatives like postCallDry (for dry runs) or explain when not to use this tool. Usage context is implied but not fully specified.

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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