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abm_architect

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Architecte ABM — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — ABM 20 comptes nommés · Budget €120k · Tier 1×5 + Tier 2×15 · Playbooks 3 niveaux. Inputs are validated server-side — send the documented case fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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.
companyYes
productYes
salesTeamNo
icpCriteriaYes
abmBudgetEurNo
targetAccountsYes
currentChannelsNo

Schema Changelog

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

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the agent knows this is a non-mutating, open-world tool. The description adds minor context: inputs are validated server-side and the output is 'audited.' However, it does not disclose behavior like async handling (despite an async parameter), return format, or any side effects. This meets the baseline but adds limited value beyond annotations.

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 description is short (three sentences) and front-loads the tool's name and a branding phrase. The first sentence includes 'Gapup agent-payable C-suite expertise (CMO),' which is promotional and not directly informative. The reference case is specific to one client and may not generalize. The structure is concise but includes extraneous detail that could be replaced with more useful usage instructions.

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?

This is a complex tool with eight parameters, nested objects, and no output schema. The description does not describe what the deliverable contains, how to interpret the result, or how to handle the async parameter (which is present in the schema). Given the complexity, the description is insufficient for an agent to invoke the tool correctly without additional guidance.

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 13%, leaving most parameters undocumented. The description does not explain individual fields; it only says 'send the documented case fields' and provides a reference case that hints at targetAccounts, budget, and tiers. The reference case is not mapped to specific schema properties, so the agent is left without semantic guidance for parameters like company, product, salesTeam, icpCriteria, etc.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the tool as an 'Architecte ABM' (ABM Architect) and states it 'Returns a structured, audited deliverable,' which suggests it produces an account-based marketing plan or strategy. However, the verb 'Returns' is generic and the purpose is not clearly differentiated from siblings like abm_lookalike_account_finder or account_expansion_mapper. The reference case provides some context but does not explicitly define the tool's core function.

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 is given on when to use this tool versus alternatives. The description does not mention exclusions, prerequisites, or contrast with sibling tools. It only implies that this tool is for ABM-related deliverables, but without comparative context the agent cannot determine when this is the right choice.

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.