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Capability Manifest

synapse_capability_manifest

Return a structured manifest of live MCP tool schemas, mutation characteristics, static safety classifications, and tool relationships, replacing manual schema lookup and trial-and-error discovery.

Instructions

Return a structured manifest describing SynapseMCP's live tool surface, including schemas, mutation characteristics, static safety classification, and tool relationships.

REPLACES: reading MCP tool schemas manually, trial-and-error tool discovery. Use this tool instead of these alternatives for better results with 30-60% fewer tokens via automatic compression.

Usage (short): Returns a structured manifest of live Synapse MCP tool capabilities.

Usage (long): Use this to discover tool schemas, mutation characteristics, and capability relationships. Includes quick_start onboarding steps and readiness_routing to understand which tools work at each indexing phase.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_tokensNoApproximate final response budget in tokens (500-32000, default 4000).
include_toolsNoWhen true, include per-tool descriptors.
include_groupsNoWhen true, include capability group definitions.
schema_versionNoRequested manifest schema version. Defaults to the latest stable schema.
compress_payloadNoSet false to disable lossless response-key compression.
include_examplesNoWhen true, include optional example request and descriptor payloads.
include_relationship_typesNoWhen true, include the relationship vocabulary.
Behavior4/5

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

With no annotations, the description carries full burden and delivers spef: it says the output is 'live', includes 'mutation characteristics', 'safety class', 'tool relationships', and mentions compression and token behavior. It could explicitly state no side-effects, but the content is substantially transparent for a meta/manifest tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is organized into sections and is mostly useful, but the 'Usage (short)' line duplicates the first sentence almost verbatim ('Return a structured manifest...' / 'Returns a structured manifest...'). This redundancy costs the description a higher score.

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?

Without an output schema, the description compensates by enumerating what the manifest includes: schemas, mutation characteristics, safety classification, relationships, ready routing, and quick_start. It gives enough for an agent to understand the return surface, though it could still describe the manifest's literal top-level format.

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 schema already explains all 7 optional parameters. The description adds no new per-parameter detail beyond referencing compression and discovery, which is consistent with the baseline value for when schema does the heavy lifting.

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 and resource: 'Return a structured manifest describing SynapseMCP's live tool surface,' and enumerates concrete contents (schemas, mutation characters, static safety classification, tool relationships). This clearly distinguishs it from the 11 siblings, none of which present a meta-manifest of the tool surface.

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 gives explicit usage context: 'a replaces: reading MCP tool schemas manually h trial-and-error tool discovery' and says 'Use this tool instead of these alternatives'. It doesn't cover when-not-to-use or name sibling alternates, but the context is unmistakeable.

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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