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Glama

precisioncalc-mcp

list_metrics

List every supported metric with descriptions and required/optional params.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It accurately indicates a read-only operation via the verb 'list' and specifies the contents of the returned list. It does not mention edge cases like empty lists or pagination, but for a simple catalog tool this is adequate.

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 a single concise sentence that directly states the tool's purpose and output content with no wasted words. It is front-loaded and easy to parse.

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 tool's simplicity (zero parameters, no output schema, no annotations), the description fully covers what an agent needs: what it lists and what information is included. Sibling tools are all calculators, making the role unambiguous.

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

Parameters4/5

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

The tool takes zero input parameters, so the baseline is 4. The description's mention of 'required/optional params' refers to the output metadata for each metric, not the tool's input, and adds no ambiguity.

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 uses the specific verb 'list' and clearly identifies the resource as 'every supported metric,' which distinguishes it from calculation-related siblings. It also details the output content (descriptions and required/optional params), making the purpose unmistakable.

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 the tool is for discovering available metrics and their parameters. While it does not explicitly name alternatives or state when not to use it, the context of sibling tools (all calculations) makes it clear this is the discovery tool. A 4 is given because context is clear, but exclusions are not spelled out.

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

B3.4/5.0
Disambiguation5/5

Each tool targets a distinct calculation domain: business days, SaaS metrics, compound growth, FX, depreciation, IRR, NPV, loans, and batch execution. The only closely related pair (IRR and NPV) is clearly differentiated by descriptions.

Naming Consistency3/5

Most tools use snake_case, but the pattern is mixed: calculate_metric and list_metrics are verb-first, currency_convert is verb-last, batch_calculate starts with a modifier, and the rest are noun phrases like loan_amortization and net_present_value. This inconsistency could cause minor confusion but remains readable.

Tool Count5/5

11 tools is well within the typical range for a specialized calculator server. Each tool covers a distinct area, and the auxiliary tools (list_metrics, batch_calculate, health_check) support the core set without bloat.

Completeness4/5

The server covers a broad swath of business/finance calculations: time-value-of-money (NPV, IRR, compound growth), loans, depreciation, currency, business days, and SaaS metrics. Minor gaps exist (e.g., no general unit conversion or statistical functions), but for the stated purpose the surface is complete.