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compare_municipalities

Compare 2–10 exact Saskatchewan municipalities using the newest governed fact for each standard economic metric. A metric is comparable only when all resolved municipalities have the same unit and reference period; missing and mismatched evidence is returned explicitly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bundleNoComparison metric preset; defaults to municipal-economic-profile-v1.
metricsNoOptional additional fact metrics.
entitiesYesMunicipality names, local slugs, or SGC codes.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It adds useful behavioral traits: uses the 'newest governed fact,' requires matching units and reference periods for comparability, and explicitly returns missing/mismatched evidence. It does not disclose output format or access requirements, but for a comparison tool these are less critical.

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 two sentences, front-loaded with the primary purpose, followed by the key behavioral constraint. Every word earns its place, with no repetition of schema details or annotations.

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

Completeness4/5

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

Given the tool has no output schema and no annotations, the description covers the core aspects: what it does, the condition for comparability, and how missing/mismatched evidence is returned. It lacks a description of the successful return format, but this is partially mitigated by the tool's clear purpose.

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 already provides 100% coverage with meaningful descriptions for all three parameters (entities, bundle, metrics). The description adds minimal parameter-level meaning beyond reinforcing the idea of 'standard economic metric' and 'resolved municipalities,' both already implied by the schema, so the baseline of 3 applies.

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 states a specific action: 'Compare 2–10 exact Saskatchewan municipalities using the newest governed fact for each standard economic metric.' This clearly identifies the verb (compare), resource (municipalities), and scope (Saskatchewan, 2–10), distinguishing it from sibling tools like compare_outcomes or compare_roles.

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?

It provides clear context for when to use the tool, namely comparing multiple Saskatchewan municipalities on economic metrics. It also specifies the comparability condition (same unit and reference period) and explicitly notes how missing/mismatched evidence is handled, but it does not mention alternatives or when not to use the tool.

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

B3.1/5.0
Disambiguation1/5

Several tools are effectively duplicates or near-duplicates: get_emerging_signals is an explicit alias for list_economic_signals, resolve_entity and resolve_entities overlap heavily, and the markdown variants duplicate their non-markdown reports. Pairs like compare_communities/compare_municipalities and search_businesses/search_licensed_businesses also require reading long contracts to avoid misselection.

Naming Consistency4/5

Tool names overwhelmingly follow a snake_case verb_noun pattern with sensible verbs like get_, list_, search_, and compare_. The main deviations are the backwards-compatible get_emerging_signals alias and prefix choices such as check_business_health vs get_business_health that obscure the underlying distinction.

Tool Count1/5

70 tools is an extreme surface for any MCP server, far beyond the 25+ 'too many' threshold. The set is fragmented by format variants, aliases, and multiple overlapping lookup tools, making selection and maintenance costly.

Completeness3/5

The domain surface is broad: entity resolution, business health, labour, community economy, procurement, and governance evidence are all covered in depth. However, there are notable lifecycle gaps—no sandbox deletion, consent revocation, health-action cancellation, or actual exchange/connect/apply step—that leave agents with dead ends.

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