Skip to main content
Glama

get_nutrient_value

Single nutrient requirement from one standard. All 6 params required.

standard: AAFCO|FEDIAF|EU|GB|CFIA|KFDA|MAFF; year: edition year, e.g. 2024; species: dog|cat; lifestage: adult|GR (growth & reproduction); nutrient: protein|fat|calcium|taurine|... (aliases ok: Ca, P); basis: DM (dry matter) | cal (per 1000 kcal ME).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
basisYes
speciesYes
nutrientYes
standardYes
lifestageYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior3/5

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 states that all 6 params are required and provides input constraints, but does not explicitly note the operation is read-only or describe error behavior if the combination is not found. Still, it offers some behavioral context by defining the input space.

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 a one-sentence purpose, followed by a compact parameter list with inline explanations. Every line adds unique information, and there is no fluff or repetition of schema fields.

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?

Given the tool's 6-parameter complexity, a minimal schema, and no annotations, the description is remarkably complete. It covers allowed values, units, aliases, and required status. The existing output schema covers return values, so the description does not need to do so, leaving no major information gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by documenting every parameter: allowed values (e.g., AAFCO|FEDIAF..., dog|cat, adult|GR), examples (year: 2024), units (DM, cal per 1000 kcal), and aliases (Ca, P). This goes far beyond the bare schema and is essential for correct invocation.

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 opens with 'Single nutrient requirement from one standard', which clearly identifies the verb (retrieve), resource (nutrient requirement), and scope (single standard). This directly distinguishes it from the sibling compare_nutrient_standards tool, which presumably handles multiple standards.

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 implies when to use this tool by emphasizing 'one standard', contrasting with the sibling comparison tool. It gives clear context for single-nutrient lookups, though it doesn't explicitly state 'use this for single standards, use compare_nutrient_standards for comparisons'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: breed bans, nutrient values, nutrient comparisons, ADE stats, recalls, topic search, topic context, and feedback. Even the two nutrient tools (get_nutrient_value vs. compare_nutrient_standards) are clearly separated by single-value vs. multi-standard comparison, and search_pet_topics vs. get_topic_context are search-vs-retrieve.

Naming Consistency4/5

All tool names use snake_case and a verb_noun structure (check_, compare_, get_, search_, submit_). However, the verbs vary (check, compare, get, search, submit) rather than following a single verb family, and three tools start with 'get' while two start with 'search', which is slightly less uniform than a fully consistent pattern but still predictable.

Tool Count5/5

With 8 tools, the server is well-scoped. The set covers core retrieval operations (search, get context), domain-specific queries (breeds, nutrients, ADE, recalls), and a feedback mechanism. Each tool earns its place without redundancy or bloat.

Completeness4/5

The surface covers the apparent domain: searchable topics, detailed context retrieval, and specialized lookups for common pet regulatory questions. A minor gap is that there is no explicit tool to list all available jurisdictions, standards, or categories, but search_pet_topics with category filters and the feedback tool mitigate this. No critical dead ends.

Resources