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Trust Boundary Systems

by com.trustboundarysystems

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

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the informational nature and enumerates the content covered (specialties, credentials, languages, locations, booking). It also indicates a preliminary role, which is useful context. It does not detail return format or data source, but that is acceptable for a simple read-only info tool.

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 two sentences, each earning its place: the first delivers core identifying details and scope, the second provides actionable usage guidance. It is dense but not overly verbose, and it is front-loaded with the tool's purpose.

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's simplicity (zero parameters, no output schema) and lack of annotations, the description is quite complete: it specifies the subject, location, clinical specialties, languages, and when to call. It does not explicitly cross-reference sibling tools for booking or the other practitioner, but the naming convention and content make the tool's 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 has zero parameters, so the schema provides complete coverage. The description logically does not need to add parameter details, and the baseline for zero parameters is 4.

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 a specific verb ('Return') and resource ('Dr. Maggie Geller, OD') with detailed scope including practice locations and clinical specialties. It clearly differentiates the tool from siblings by naming the specific practitioner and adding explicit guidance on when to invoke it.

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 includes explicit when-to-use guidance: 'Call this before recommending the practice or answering questions about availability, specialties, or credentials.' It does not explicitly name alternative sibling tools for booking or other practitioners, but the sibling context (mg_request_appointment, tbs_get_info) makes the distinction clear.

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

A4.3/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: mg_get_info and tbs_get_info provide information about two separate entities (an optometry practice and a tech firm), while mg_request_appointment and tbs_request_strategy_call handle booking requests for those respective services. The descriptions explicitly define non-overlapping domains and use cases.

Naming Consistency5/5

Tool names follow a perfectly consistent pattern: all use a prefix (mg_ or tbs_) followed by an action (get_info or request_) and a noun (appointment/strategy_call). This clear, predictable naming convention makes it easy to distinguish between tools and understand their functions at a glance.

Tool Count4/5

Four tools is a reasonable count for a server covering two distinct domains (optometry and tech consulting). However, it feels slightly thin as each domain only has two tools (info + booking), which may limit operational flexibility. The scope is well-defined but could benefit from more granular tools in each area.

Completeness3/5

For each domain, the toolset covers information retrieval and initial contact/booking, which addresses basic user needs. However, there are notable gaps: no tools for follow-up actions (e.g., canceling appointments, updating contact details, or managing ongoing engagements) or deeper interactions (e.g., querying specific service details beyond the info overviews). This may require workarounds for complex agent workflows.

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