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outbound_sequencer

Read-only

Séquences outbound — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Gapup Hub → CFO + CRO B2B SaaS France — Séquence 6 touches multi-canal · Taux réponse +180%. Inputs are validated server-side — send the documented case fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
icpYes
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
offerYes
excludedAnglesNo
targetAccountsNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The annotations declare readOnlyHint=true, so the agent already knows this is a non-mutating operation. The description adds that inputs are validated server-side and that the deliverable is 'audited', which provides some behavioral context. However, it doesn't disclose return format, rate limits, or any side effects, leaving gaps for an agent.

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

Conciseness4/5

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

The description is relatively brief and front-loaded with the purpose. It includes a reference case that adds context without excessive length. Minor redundancy: 'Séquences outbound' repeats the title/name. Overall, it communicates efficiently, though some jargon ('Gapup agent-payable C-suite expertise') may obscure clarity.

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?

For a tool with 5 parameters (including nested objects) and no output schema, the description is incomplete. It does not explain the structure of the 'structured, audited deliverable', the meaning of 'documented case fields', or how the parameters relate to the output. The absence of examples or further detail makes it hard for an agent to invoke it correctly beyond basic schema validation.

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

Parameters2/5

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

Schema description coverage is only 20% (only 'async' is described). The description says 'send the documented case fields' but doesn't explain what those fields are or how to populate them. The reference case gives an indirect example (CFO + CRO B2B SaaS France), but it doesn't compensate for the lack of parameter-level guidance.

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 identifies the tool as generating outbound sequences ('Séquences outbound') and mentions a specific reference case (Gapup Hub → CFO + CRO B2B SaaS France), indicating it produces a structured deliverable. However, the action verb is weak ('Returns'), and it doesn't explicitly distinguish itself from sibling tools like battle_plan or sales_enablement_architect.

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 explicit guidance on when to use this tool versus alternatives. The reference case implies a B2B SaaS C-suite outreach context, but there is no statement about when to prefer this tool or what it excludes. The only instruction ('send the documented case fields') is about invocation, not usage context.

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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TDQS

C2.4/5.0
Disambiguation1/5

Over 50 tools share the identical template 'Gapup agent-payable C-suite expertise' with similar French descriptions and reference cases, making their boundaries indistinguishable. Clusters like competitor_intel, competitive_deep_dive, competitor_moves, competitor_profiles, competitor_pricing_radar, competitor_pricing_scrape, and competitor_recommendations heavily overlap in purpose.

Naming Consistency1/5

Names are chaotic: mix of French and English, snake_case and camelCase, verb_noun, noun, and adjective forms with no uniform pattern. Examples like 'bp_narratif', 'content_enrichment', 'ai_governance_full_report_async', and 'job_result' show no coherent naming convention.

Tool Count1/5

271 tools is far beyond any reasonable MCP server scope, creating an overwhelming selection burden for agents. This count vastly exceeds the 25+ threshold for 'too many' and makes navigation impractical.

Completeness2/5

While the server covers many business domains, it lacks lifecycle operations (e.g., no update/delete tools for the deliverables it generates) and the input specifications are vague ('documented case fields' without documentation), creating functional dead ends. The sheer breadth does not compensate for these gaps.