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Nieuwe lead voorstellen

crm_kandidaat_voorstellen

Stel een nieuwe lead voor; Ragently controleert zelf (CRM, niet-mailen, e-mail, social proof, doelgroep). Antwoord: ok + contact_id, of ok false + reden.

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": {
      "campagne_id": "<campagne_id>",
      "bedrijf": "<bedrijf>",
      "domein": "<domein>",
      "email": "<email>"
    },
    "name": "crm_kandidaat_voorstellen"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailYesAlgemeen adres op het eigen domein.
klaarNotrue bij je laatste aanroep: sluit de ronde.
redenNoWaarom het past (kort).
domeinYesEigen domein, zonder www.
bedrijfYesBedrijfsnaam.
campagne_idYesCampagne-id uit het script.
social_proofNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Goes meaningfully beyond the annotations by disclosing that the server performs its own checks (CRM presence, do-not-mail, e-mail validity, social proof, target audience) and that a rejected proposal returns ok=false with a reason. This tells the agent validation happens downstream, which the readOnly/openWorld hints do not convey. The batching protocol implied by the 'klaar' flag is not described, which keeps it from a 5.

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?

Two compact clauses: one states the action and server-side validation, the second states the response contract. No padding, and the core action is front-loaded.

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?

There is no output schema, so the description's return-value note (ok + contact_id, or ok false + reden) is genuinely necessary and present. However, for a 7-parameter, non-idempotent proposal tool with a 'klaar' round-closing flag, the absence of any explanation of the multi-call round workflow leaves a real gap.

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 86%, so the schema already explains all seven parameters, including the nested social_proof object. The description adds no additional meaning about parameter formats or the round-closing semantics of 'klaar' beyond what the schema states.

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?

States a specific verb and resource ('Stel een nieuwe lead voor') that clearly identifies the action and distinguishes it from sibling tools like crm_bewaar_contact or crm_kandidaat_overslaan. It does not explicitly contrast with those siblings, but the purpose is unambiguous.

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 implies use during a lead-generation round against a campaign, but never says when to choose this over crm_kandidaat_overslaan or crm_bewaar_contact, nor what conditions disqualify a candidate before calling. Usage is inferable rather than stated.

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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