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banking_fee_negotiator

Read-onlyIdempotent

As a CFO-focused tool, banking_fee_negotiator analyzes your bank's fee structures (account maintenance, wire transfers, credit lines) and provides data-driven negotiation recommendations. Input your current fees and bank details to receive benchmark comparisons from World Bank and ECB SDW, along with specific levers to reduce costs. Ideal for optimizing treasury operations and improving financial efficiency. Keywords: bank fees, cost optimization, treasury management, financial benchmarking, negotiation strategy.

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.
industryNoIndustry classification (e.g., 'manufacturing', 'retail')
bank_countryYesISO 2-letter country code of the bank
credit_line_feeNoCurrent annual credit line fee percentage
wire_transfer_feeNoCurrent domestic wire transfer fee in USD
international_wire_feeNoCurrent international wire transfer fee in USD
account_maintenance_feeYesCurrent monthly account maintenance fee in USD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesNo
warningsNo
negotiation_leversNo
credit_line_benchmarkNoIndustry benchmark for credit line fees percentage
wire_transfer_benchmarkNoRegional benchmark for domestic wire transfer fees in USD
international_wire_benchmarkNoRegional benchmark for international wire transfer fees in USD
account_maintenance_benchmarkNoRegional benchmark for account maintenance fees in USD

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate read-only, idempotent behavior. The description adds context by explaining it uses data from World Bank and ECB SDW for benchmarks and generates negotiation levers. It does not contradict annotations since it describes analysis without side effects.

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 four sentences with a clear front-loaded purpose and a keyword list. It is efficiently written, though the keyword list is somewhat redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the annotations (read-only, idempotent) and the output schema, the description sufficiently explains the tool's inputs, analysis sources, and outcome. It covers the essential context for selecting and invoking the tool.

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?

The input schema provides 100% coverage with descriptions for all parameters, including required fields and units. The description references fee types that map to schema parameters but does not add significant meaning beyond the schema.

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 tool's function: analyzing bank fee structures and providing negotiation recommendations. It identifies specific fee types (account maintenance, wire transfers, credit lines) and output (benchmark comparisons, cost reduction levers), distinguishing it from broader treasury tools.

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 provides context for use ('CFO-focused', 'Ideal for optimizing treasury operations'), implying it is for negotiating bank fees. However, it does not explicitly mention when not to use it or name alternative tools, so it lacks exclusion guidance.

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.