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apollo-mcp

apollo-mcp

by dyngai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

apollo_bulk_create_tasks

Create tasks for multiple contacts at once by specifying contact IDs, task type, status, and due date.

Instructions

Bulk-create tasks. One task is created per contact in contact_ids. Same required fields as create_task except note is optional.

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": {
      "user_id": "<user_id>",
      "contact_ids": "<contact_ids>",
      "type": "<type>",
      "status": "<status>",
      "due_at": "<due_at>"
    },
    "name": "apollo_bulk_create_tasks"
  }
}

Input Schema

NameRequiredDescriptionDefault
typeYesTask type
due_atYesISO 8601 due timestamp
statusYesTask status
user_idYesApollo user ID of the task owner
priorityNo'high'/'medium'/'low' (default medium)
contact_idsYesApollo contact IDs (one task per contact)

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the bulk behavior but does not disclose authentication needs, rate limits, error handling, or whether the operation is atomic. For a creation tool, more behavioral context would be helpful.

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 consists of two short sentences, with the action and key behavior front-loaded. Every sentence contributes meaning without redundancy.

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?

Given 6 parameters and an output schema, the description covers the core behavior but omits details like batch size limits, partial failure handling, and return value specifics. It is adequate but not fully comprehensive.

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 baseline is 3. The description adds value by noting that 'note is optional' compared to create_task, but does not elaborate on each parameter beyond what the schema provides.

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 'Bulk-create' and the resource 'tasks'. It distinguishes from the sibling 'create_task' by explaining the one-task-per-contact behavior and referencing shared required fields.

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?

The description implies use for multiple contacts by saying 'One task is created per contact in contact_ids' and references 'Same required fields as create_task'. It does not explicitly state when not to use it or list alternatives, but the context is clear.

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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