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mcp-parigp

mcp-parigp

by daedalus
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

ellinit

Initialize an elliptic curve from a short Weierstrass equation, such as y^2 = x^3 - x.

Instructions

Initialize an elliptic curve.

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": {
      "pol": "<pol>"
    },
    "name": "ellinit"
  }
}

Input Schema

NameRequiredDescriptionDefault
polYesShort Weierstrass equation (e.g., "y^2 = x^3 - x").
signNo1 for minimal model.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It offers none: no mention of side effects, memory allocation, or whether the initialization affects any global state. The agent learns nothing beyond the tool's existence.

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

Conciseness3/5

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

The description is extremely concise (one short sentence), which is generally positive. However, it sacrifices informativeness for brevity, leaving out critical details. It is appropriately sized but fails to be helpful.

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?

Given the absence of an output schema and the need to explain an elliptic curve initialization, the description is severely lacking. It does not mention what the function returns (e.g., an 'ell' object), the role of the 'sign' parameter in model minimality, or any validation behavior. The agent cannot confidently use this tool.

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%, so the input schema already documents both parameters. The description adds no further explanation of the parameters, achieving only the baseline of not contradicting the schema. It does not enhance understanding of parameter usage.

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 clearly states the action ('Initialize') and resource ('elliptic curve'), so the agent understands the basic purpose. However, it does not distinguish this tool from sibling tools like 'elladd' or 'ellap' that also operate on elliptic curves, missing an opportunity to clarify scope.

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?

No guidance on when to use this tool versus alternatives. The description does not mention prerequisites, common use cases, or situations where this tool should be avoided. This leaves the agent without context for appropriate invocation.

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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