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Toofi Dental Planning MCP

Get example PDF result

get_example_result
Read-onlyIdempotent

Return a stable public PDF artifact that shows what Toofi produces: a patient-facing treatment-plan presentation for an example case where tooth 11 and root 11 are missing. No generation is run at call time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoAlias for language.
agent_idNoCalling agent identifier.
languageNoExample PDF language: en, pl, ru, sk, uk, or ua.
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

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: the artifact is 'stable' and 'public' and explicitly notes that no generation occurs at call time, which signals instant, side-effect-free response.

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?

Two sentences, front-loaded with the primary action and unique value. Every word earns its place: 'stable public PDF artifact', 'shows what Toofi produces', and 'No generation is run at call time' all convey essential information without redundancy.

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?

For a simple read-only demo tool with 0 required parameters and a full output schema, the description is sufficient. It explains what the tool returns, the example content, and the key behavior (no generation), making it complete for an agent to decide when and how to invoke it.

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?

Schema description coverage is 100%, so the schema already documents all 8 parameters including the language enum. The description doesn't add parameter-level detail, but it isn't required given the schema's thoroughness. 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 uses a specific verb ('Return') and identifies the exact resource ('stable public PDF artifact') plus its content (a patient-facing treatment-plan presentation for a missing tooth 11/root 11 example). This clearly distinguishes it from sibling tools like generate_dental_treatment_plan_pdf or example_* variants by emphasizing it's an artifact showing Toofi's output.

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 provides clear context: it returns a pre-existing public PDF without running generation, implying it's for demonstration/reference rather than actual generation. It doesn't explicitly name alternatives like generate_dental_treatment_plan_pdf, but the contrast with 'No generation is run at call time' makes the intended use case evident.

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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