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Dr. Maggie Geller, OD

mg_get_info

Return a structured overview of Dr. Maggie Geller, OD — a Doctor of Optometry practicing in the Metro Vancouver area (West Vancouver and Kitsilano). Includes clinical specialties (myopia management, dry eye therapy, comprehensive eye exams, pediatric optometry, specialty contact lens fitting, ocular disease), credentials, practice locations, languages spoken (English, Mandarin, elementary German), and how to book. Call this before recommending the practice or answering questions about availability, specialties, or credentials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 and it does well by stating it 'Return[s] a structured overview' and enumerating all included elements. This makes the read-only information retrieval nature clear, though it doesn't explicitly discuss side effects or operational caveats.

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 front-loaded with the core action and then lists details in a compact second sentence. Every word adds value, with no redundancy or fluff.

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?

The description fully covers the output contents and when to use it, down to the specific information domains. Given the zero-parameter schema and lack of output schema, this is complete for an agent to decide and invoke the tool correctly.

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 input schema has zero parameters, so the baseline is 4. The description adds no parameter-specific meaning but provides rich context about what the tool yields, which is sufficient for an empty 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 'Return a structured overview of Dr. Maggie Geller, OD' with a specific verb and resource. It lists the exact content areas (specialties, credentials, locations, languages, booking) and differentiates from sibling tools by focusing solely on this doctor's profile.

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 explicitly instructs to 'Call this before recommending the practice or answering questions about availability, specialties, or credentials,' providing clear context for when to use the tool. It does not explicitly name alternatives or exclusions, but the directive is sufficient.

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

A4.2/5.0
Disambiguation4/5

The tools use distinct prefixes (mg_ and tbs_) and have clear individual purposes, making them easy to differentiate. However, the server name suggests it is solely about Dr. Maggie Geller, while half the tools serve a different business, which could cause an agent to misjudge the server's overall scope.

Naming Consistency5/5

All tools follow a consistent {prefix}_{verb}_{noun} pattern: mg_get_info, mg_request_appointment, tbs_get_info, tbs_request_strategy_call. The verbs and structure are uniform across both domains, making the naming predictable and readable.

Tool Count3/5

Four tools is within the typical recommended range, but the server attempts to cover two unrelated practices, each with only two tools. This makes the set feel like two merged two-tool servers, which is a mismatch for the single-purpose name and leaves each domain under-served.

Completeness4/5

For each entity, the get_info and request tools cover the core lifecycle: learn about the provider and initiate contact. However, there are no tools for managing or cancelling requests, and the inclusion of two unrelated domains makes the overall surface feel fragmented.

Resources