Calculate macronutrient targets.
| Name | Required | Description | Default |
|---|---|---|---|
| goal | No | Goal: lose, maintain, gain | maintain |
| calories | Yes | Daily calorie target |
| Name | Required | Description | Default |
|---|---|---|---|
| goal | Yes | ||
| macros | Yes | ||
| calories | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description only states the purpose, not the behavior (e.g., that it computes grams of protein, carbs, fat, or that it uses standard ratios). It doesn't disclose assumptions, edge cases, or whether results are estimations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short (5 words), which may be seen as concise but lacks critical information. It is not front-loaded with key details. A more informative sentence would be preferred without being verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that an output schema exists (unknown content), the description still fails to explain what the tool returns. With no annotations, the description should compensate but does not. For a simple two-parameter tool, it is incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% with clear descriptions for both 'goal' and 'calories'. The tool description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Calculate macronutrient targets' uses a specific verb and noun, distinguishing it from siblings like calculate_bmi or calculate_bmr. However, it doesn't specify which macronutrients (e.g., protein, carbs, fat) or the exact output format.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. The description lacks instructions on prerequisites, context, or exclusions. For a nutrition-related tool, it should mention that it requires a calorie target and optionally a goal (lose/maintain/gain).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have overlapping purposes, such as multiple random generators (random_integer, random_number), duplicate hashing functions (hash_md5, md5_checksum), and near-identical tools (compare, compare_2, compare_decimals). The sheer number of tools and lack of clear boundaries make it difficult for an agent to differentiate.
Naming is highly inconsistent. There are duplicate tools with different names (camel_case vs to_camel_case, slug vs slugify), arbitrary suffixes like '_2', and mixing of patterns (e.g., generate_password vs password_entropy). No clear convention is followed.
With 572 tools, the server is massively overpopulated for any coherent purpose. It includes trivial endpoints (true_endpoint, null, hello_world) and numerous duplicates, far exceeding a well-scoped utility set.
While the server covers many domains (math, strings, dates, colors, etc.), the presence of duplicate and trivial tools indicates a lack of thoughtful curation. There are gaps in basic operations (e.g., no dedicated file or network tools), and many tools are redundant.
