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Burs-IA

Verify a public MCP endpoint

bursia_verify_mcp
Read-onlyIdempotent

Give Burs-IA one public HTTPS MCP endpoint and receive a structured read-only verification report: negotiated protocol, discovered tools, schema issues, compatibility, latency, limitations, cost metering and an evidence hash. No target tool is executed, no credentials are sent, and this is not a security certification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointYesPublic HTTPS MCP Streamable HTTP endpoint. Port 443 only; private, local, reserved and mixed public/private DNS targets are rejected.
idempotencyKeyNoOptional caller key. Exact replay returns the cached receipt for five minutes; conflicting reuse is rejected.
protocolVersionNoMCP protocol version used for the bounded initialize/list probe.2025-11-25

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsYes
schemaYes
statusYes
endpointYes
meteringYes
replayedYes
latencyMsYes
toolNamesYes
observedAtYes
limitationsYes
coreMutationYes
evidenceHashYes
schemaIssuesYes
compatibilityYes
publicSafeOnlyYes
evidenceReceiptYes
protocolVersionYes
toolsDiscoveredYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds genuinely new behavioral context: the probe is bounded, no target tools are executed, no credentials leave, and the output is an evidence-hashed report rather than a certification.

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?

One long but front-loaded sentence: the action and input come first, then the report contents, then the caveats. No filler, though the mid-sentence list of report fields is dense.

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

Completeness4/5

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

An output schema exists, so return values need not be enumerated, yet the description helpfully previews the report dimensions and explicitly bounds scope (no execution, no credentials, not a certification). Only the lack of guidance versus sibling verification/discovery tools is a gap.

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 endpoint restrictions, idempotency replay semantics and protocol enum are already documented. The description adds nothing about individual parameters, so 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?

States a specific verb (verify) and resource (a public HTTPS MCP endpoint) plus the shape of the result. It is clearly distinguishable from siblings like bursia_status or discover_capabilities.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description scopes the tool by stating two negative conditions (no target tool executed, no credentials sent) and 'not a security certification', which implicitly tells the agent when this is appropriate. However, it names no alternative sibling and gives no explicit when-to-use trigger.

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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