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Glama

Toofi Dental Planning MCP

Example PDF result - Slovak

example_sk
Read-onlyIdempotent

Return the cached Slovak Toofi example PDF artifact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNoCalling agent identifier.
clinic_idNoClinic identifier for mandate-scoped production execution.
intent_idNoRoot agent intent id.
mandate_idNoClinic or agent mandate id. Optional in public demo mode.
request_idNoIdempotency and correlation id echoed in Toofi responses.
principal_idNoHuman or clinic principal on whose behalf the agent acts.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
modeNo
statusNo
endpointNo
timestampNo

Schema Changelog

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

  1. Added

TDQS

A4/5.0
Behavior4/5

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

The description adds the behavioral trait 'cached', indicating the artifact is pre-generated rather than computed on demand. This goes beyond the annotations, which only declare readOnly, idempotent, and non-destructive hints. No negative traits are disclosed but none are needed given the annotations.

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?

A single, direct sentence that immediately conveys what the tool does. No filler words, no redundant detail. The structure is optimal for a simple retrieval operation.

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?

For a simple tool returning a cached artifact, the description covers the core purpose and language. The presence of an output schema and detailed annotations means the description does not need to explain return values or safety. The only minor gap is no explicit mention of whether the PDF is returned inline or as a link, but the output schema likely covers that.

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 describes all 6 parameters (100% coverage), so the baseline is 3. The description adds no additional parameter meaning, but the 'cached' nature implies parameters likely don't affect the returned artifact. Since all parameters are optional and generic context IDs, the lack of parameter-specific detail is acceptable.

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 action ('Return') and the specific resource ('cached Slovak Toofi example PDF artifact'). The word 'Slovak' distinguishes it from sibling example_* tools such as example_en or example_pl, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied via the word 'Slovak' in the description and title, indicating it is for Slovak-language examples. However, no explicit comparison or guidance is given for when to choose this over sibling tools like example_en or get_example_result, and there are no exclusions mentioned.

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

B3.3/5.0
Disambiguation3/5

Several tools have overlapping purposes, particularly example_en, example_pl, example_ru, example_sk, example_ua, example_uk, and get_example_result, which all return example PDFs. Also, example_ua and example_uk are explicitly aliases for the same Ukrainian example, creating direct ambiguity. Core clinical tools are distinct, but the example/demo cluster muddies the boundary.

Naming Consistency4/5

Most tools follow a snake_case verb_noun pattern (e.g., list_patients, create_agent_checkout_session, generate_price_estimate), but a few deviations exist: example_en/pl/ru/sk/ua/uk lack a verb prefix, and get_example_result seems to duplicate example_en. The 'pano' abbreviation in start_pano_markup is also slightly inconsistent. Overall, the pattern is mostly predictable.

Tool Count2/5

With 32 tools, the count is too high for the apparent scope of dental planning. Many tools are redundant example/demo variants (e.g., 6 language-specific example tools plus get_example_result, and multiple demo getters/listers). This bloat suggests the tool set could be consolidated to a more focused 15-20 tools without losing core functionality.

Completeness3/5

The core workflow is covered: generating plans, retrieving patients/plans, pricing, and billing. However, there are notable gaps such as no update or delete operations for plans or patients, no create patient tool, and no way to modify pricing beyond import_price_csv. The demo tools partially compensate by offering sample data, but the production lifecycle is incomplete.

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