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Vedha JSON MCP

List Vedha contexts

vedha_list_contexts
Read-onlyIdempotent

Discover DataOrbit operating model contexts by listing altitudes, workflows, and flows from the Atlas scope map. Use this first when project scope is unclear to orient yourself.

Instructions

List the altitudes, workflows, and flows of the DataOrbit operating model (Atlas scope map). Call this first when scope is ambiguous.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds the behavioral nuance that this is a preliminary scoping call but does not describe pagination, result size, ordering, or any side effects. With strong annotations and an output schema present, a 3 is appropriate rather than lower.

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 a single, dense sentence that front-loads the verb and object, then immediately provides the key usage cue. Every word earns its place; there is no filler or repetition of schema/annotation information.

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 zero-parameter, read-only, idempotent tool with an output schema, the description is complete: it names the resource, indicates the return scope, and states when to invoke it. Nothing an agent needs to decide whether to call this tool is missing.

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

Parameters4/5

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

The tool takes zero parameters, so the description does not need to explain parameter meanings. The schema coverage is effectively 100% (empty schema fully documented), and the baseline for zero-parameter tools is 4. The description even adds semantic context about what the returned 'contexts' refer to.

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 ('List') and resource ('altitudes, workflows, and flows of the DataOrbit operating model'), clarifying both the action and the object. It also slots the tool relative to its get_* siblings by framing this as the scope-map listing entry point, so an agent can distinguish it without inspecting other tools.

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 explicitly tells the agent when to call this tool: 'Call this first when scope is ambiguous.' This is clear, actionable context for a common decision point. It does not enumerate exclusions or explicitly name alternatives, so it falls short of a full when-to-use/when-not-to-use guide.

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