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dyngai

apollo-mcp

by dyngai

apollo_remove_contacts_from_sequence

Remove or stop contacts from Apollo sequences by specifying contact IDs and sequence IDs. Optionally set mode to mark contacts as finished.

Instructions

Remove or stop contacts in one or more sequences. mode is typically 'mark_as_finished'. Returns a job descriptor (async on Apollo's side).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo'mark_as_finished' or other documented modemark_as_finished
contact_idsYesApollo contact IDs (entity_ids)
sequence_idsYesSequence IDs to remove from

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It discloses async behavior and return of a job descriptor. However, it lacks details on side effects, reversibility, or authorization needs. Adequate but incomplete.

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 concise (two sentences) and front-loaded with purpose. Every sentence adds value: first states the operation, second provides mode and async detail. No fluff.

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?

The description is minimally complete: states purpose and basic behavior. However, for a mutation tool, it lacks context on prerequisites, side effects, and error states. The output schema is referenced but not detailed. With sibling tools, more guidance would be beneficial.

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 descriptions cover all parameters (100% coverage). The tool description adds no meaningful parameter semantics beyond reiterating the default mode. Baseline score of 3 is appropriate.

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 ('remove or stop contacts in one or more sequences') and resource. It provides context about the mode and async nature. However, it does not explicitly distinguish from sibling tools like apollo_abort_sequence or apollo_archive_sequence, which could be confused.

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?

The description offers no guidance on when to use this tool versus alternatives. It does not mention prerequisites, when-not to use, or point to alternative tools for different use cases, such as aborting or archiving sequences.

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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