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Glama

pulsenetwork

by com.theaslangroupllc.pulse

mealpulse

MealPulse: Global meal planning and culinary intelligence API. AI-synthesized meal plans, recipe generation, dietary restriction guidance, grocery optimization, pantry utilization, batch cooking, food budgeting,

Coverage: Global

Endpoints: • plan ($0.15): Weekly meal plan • recipe ($0.08): Recipe with technique tips • grocery ($0.10): Grocery list by store section • pantry ($0.10): Pantry-to-meal ideas • batch ($0.10): Batch cooking guide • dietary ($0.08): Dietary restriction guide • budget ($0.10): Budget meal strategy • substitute ($0.05): Ingredient substitutions • leftover ($0.08): Leftover transformation • kitchen ($0.08): Kitchen equipment advisor

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dishNodish
langNoResponse language code (en | es | fr | de | zh | hi | ar | pt | ja | ko | etc.)
mealsNomeals
storeNostore
actionYesWhich endpoint to call. Options: plan | recipe | grocery | pantry | batch | dietary | budget | substitute | leftover | kitchen
budgetNobudget
peopleNopeople
reasonNoreason
concernNoconcern
cuisineNocuisine
dietaryNodietary
locationNolocation
servingsNoservings
leftoversNoleftovers
experienceNoexperience
ingredientNoingredient
ingredientsNoingredients
preferencesNopreferences
cooking_styleNocooking_style

Schema Changelog

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

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations provided, so description carries full burden. It discloses coverage and pricing, but does not mention side effects, authentication, rate limits, or whether operations are read-only. As a content generation API, it's likely non-destructive, but this is not stated.

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 well-structured with a one-line summary and a bulleted endpoint list. Each endpoint description is brief and relevant. It is longer than necessary but earns its length by covering the multi-endpoint nature.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 19 parameters and 10 actions, but the description does not specify which parameters each action requires or the response format. No output schema exists, and annotations are absent, leaving significant gaps for an agent to invoke the tool correctly.

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 has descriptions for all parameters, but most are just the parameter name repeated (e.g., 'dish' for dish). Description adds no endpoint-to-parameter mapping, so agents cannot infer which parameters apply to each action. Given the 100% schema coverage, baseline 3 is used, but quality is marginal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly identifies MealPulse as a meal planning and culinary intelligence API, listing specific capabilities like meal plans, recipe generation, and dietary guidance. It does not explicitly differentiate from sibling tools such as nutripulse, but the domain is distinct.

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

Usage Guidelines2/5

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 endpoint list provides internal selection (e.g., plan vs recipe), but no external comparison or exclusions. An agent would not know when to choose this over a sibling tool.

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

B3.2/5.0
Disambiguation4/5

Each tool has a unique domain prefix (e.g., airdroppulse, alphapulse, arbipulse) making them mostly distinguishable at a glance. A few adjacent verticals like careerpulse vs talentpulse or marketpulse vs dealpulse have overlapping themes, but their descriptions clarify the distinct focus. The utility tools (catalog_search, discover, get_openapi_spec, x402_troubleshoot) are also clearly distinct in role. However, the sheer number of similar 'pulse' names could still cause misselection without reading descriptions.

Naming Consistency4/5

The dominant naming convention is `<domain>pulse` (e.g., climatepulse, cryptopulse, edupulse), which is highly consistent and predictable. Exceptions like catalog_search, discover, get_openapi_spec, x402_troubleshoot, and stateedge break the pattern, but these are few and serve obvious utility purposes. Overall, the convention is clear and easily learnable.

Tool Count2/5

With 80 tools, the server presents an extremely large and potentially overwhelming surface. While each tool represents a distinct intelligence vertical and navigation aids exist (catalog_search, discover, get_openapi_spec), the count far exceeds the typical 3-15 range for coherent agent use and even the 'heavy' 16-25 range. The burden of selecting the correct vertical from 80 options is significant, despite clear naming.

Completeness5/5

The server offers an exceptionally broad and deep coverage of domains, from finance and health to agriculture and gaming. Each vertical includes multiple endpoints that address core operations for its domain, such as search, analysis, comparisons, deterministic checks, and even action-oriented tools like letter generators and physical mail. The presence of free discovery and troubleshooting tools fills potential gaps, leaving no obvious dead ends in the overall tool surface.

Resources