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EstimateOne MCP Server and API by Cotlet

List Speci-Finder matches in EstimateOne

estimateone_list_speci_finder_matches
Read-onlyIdempotent

List Speci-Finder matches in the user's own EstimateOne account from ChatGPT, Claude or any AI agent. Returns how to do it in EstimateOne step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's EstimateOne Cloud Browser. EstimateOne's official API: EstimateOne has an External API, but it is not self-service and it is read-only (checked 6 Nov 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "estimateone_list_speci_finder_matches"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotent and non-destructive, but the description adds the crucial behavioral fact that the tool 'opens nothing by itself' — it is a guidance emitter, not an action or data retriever. The note about EstimateOne's External API being non-self-service and read-only explains why a browser path exists, though it is background rather than operational detail.

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 core behavior is front-loaded, but the description carries filler ('from ChatGPT, Claude or any AI agent') and a trailing background sentence about the External API with a dated check stamp that adds little to invocation decisions. It could be tightened by a third without losing anything the agent needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description covers what matters: it tells the agent the return value is step-by-step screen/button/field instructions and that a separate browser tool family must carry out the actions. What is missing is any sense of what a Speci-Finder match is or how much guidance to expect, but that is minor for a zero-input helper.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4. The description correctly implies no inputs are needed and nothing in the text suggests hidden arguments that the empty schema would contradict.

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 states a specific resource (Speci-Finder matches in the user's own EstimateOne account) and, importantly, corrects the misleading verb in the name by explaining that the tool returns step-by-step instructions rather than data. It also names the tool family (cotlet_browser_*) that actually performs the work, so an agent can distinguish it from sibling estimateone_* tools that return real data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear two-stage workflow: call this to get the steps, then execute them with cotlet_browser_* tools in the user's EstimateOne Cloud Browser. There are no explicit exclusions (e.g., when to prefer estimateone_search_tenders or another estimateone_* helper instead), which keeps it shy of a 5.

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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