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berntpopp
by berntpopp

Get Server Capabilities

get_server_capabilities
Read-onlyIdempotent

Retrieve the MetaDome discovery surface including identity, build version, tool list, response modes, recommended workflows, error taxonomy, and limits. Call with detail='full' for additional semantics and policies.

Instructions

Return the metadome-link discovery surface: identity/build/MetaDome data version, the frozen tool list, response modes, recommended workflows, the error taxonomy, and limits. detail='full' adds the score/async semantics and policy notes. Call this first in a cold session, or read metadome://capabilities / metadome://tools. Signature: get_server_capabilities(detail=, response_mode=).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNosummary (default, light) or full (adds semantics + notes).summary
response_modeNoVerbosity: minimal|compact|standard|full (default compact).compact

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successYes
_metaNo
error_codeNo
messageNo
retryableNo
recovery_actionNo
fieldNo
hintNo
candidatesNo
recommended_citationNo
data_versionsNo
serverNo
server_versionNo
capabilities_versionNo
toolsNo
tool_countNo
response_modesNo
error_codesNo
recommended_workflowsNo
read_onlyNo
research_use_onlyNo
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that detail='full' adds 'score/async semantics and policy notes', which is useful behavioral context beyond annotations. There is no contradiction.

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?

Three sentences, each serving a distinct purpose: what it returns, how detail parameter modifies it, and when/alternatives. No fluff, front-loaded with the main purpose.

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?

Given the output schema exists, the description covers all needed aspects: return contents, parameter effects, usage context. It is complete for an agent to understand and invoke the tool correctly.

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?

Schema description coverage is 100%, so baseline is 3. The description explains what the 'full' detail adds (semantics and notes) and references both parameters in the signature, providing extra context beyond the schema's enum descriptions.

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 explicitly states it returns the 'metadome-link discovery surface' with specific components like identity, tool list, response modes, etc. It clearly distinguishes from sibling tools (e.g., compare_positions, get_diagnostics) by focusing on server metadata.

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

Usage Guidelines5/5

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

The description provides explicit guidance: 'Call this first in a cold session' and offers alternatives like 'read metadome://capabilities / metadome://tools'. This clearly tells the agent when to use this tool and what to use instead.

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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