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Hermes Toolkit MCP

by hermegeddon

Ask Hermes fallback (last resort)

hermes_agent_ask_fallback

Send a last-resort prompt to Hermes Agent when no typed tool fits. Requires justification, docs consultation, risk acknowledgment, and expected evidence; supports sync and async jobs.

Instructions

Last-resort prompt bridge to a configured Hermes Agent backend after typed tools do not fit. Requires why_no_typed_tool_fits, docs_resource_consulted, typed_wrapper_checked, risk_acknowledgement, and expected_evidence, writes private artifacts, supports async jobs, and warns when a typed tool would be better.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
homeNoOptional Hermes home path. Must resolve under configured allowed roots.
job_idNoRun/job id returned by operation=start.
promptNoPrompt for the last-resort Hermes fallback bridge.
backendNoapi
profileNoOptional Hermes profile name. Defaults to configured default_profile.
batch_qaNoTrue when the caller is attempting repeated/batch QA; CLI fallback refuses this mode.
operationNoRun synchronously, start an async fallback job, poll status, or cancel a job.run
toolkit_rootNoOptional Hermes toolkit root. Must resolve under configured allowed roots.
timeout_secondsNo
expected_evidenceNoEvidence the caller expects back, such as artifact receipts, commands, or readback handles.
risk_acknowledgementNoCaller acknowledgement that fallback is last-resort, prompt-bearing, and may trigger live/model/tool side effects.
typed_wrapper_checkedNoTyped wrapper or documented wrapper mapping checked before fallback was considered.
why_no_typed_tool_fitsNoRequired justification for why no typed Hermes Toolkit MCP tool fits this request.
docs_resource_consultedNoBundled Hermes API docs resource URI read before attempting fallback.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
scopeNo
run_idNo
statusYes
messageNo
verdictNounknown
evidenceNo
mutationNo
warningsNo
live_callNo
retryableNo
error_codeNo
duration_msNo
http_statusNo
policy_tierNoread_only
artifact_dirNo
likely_causeNo
next_actionsNo
safe_next_actionNo
redactions_appliedNo
Behavior4/5

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

Annotations declare readOnlyHint=false, openWorldHint=true, destructiveHint=false. The description goes beyond these by disclosing that it 'writes private artifacts,' 'supports async jobs,' and 'may trigger live/model/tool side effects' (via risk_acknowledgement description). It is openWorld (outbound model calls), which aligns with openWorldHint. This adds meaningful behavioral context beyond annotations, though async/artifact behavior is partially implied by the schema structure.

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?

A single, dense sentence packs the purpose, gatekeeping requirements, artifact behavior, async support, and fallback warning into minimal prose. No wasted words. The front-loading ('Last-resort prompt bridge...') immediately orients the agent to the tool's exceptional nature.

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?

For a complex tool with 14 params, asynchronous operations (run/start/status/cancel), conditional required fields via allOf, gatekeeping fields, and behavioral side effects, the description covers the essentials reasonably well. An output schema exists. Gaps remain: it doesn't clearly enumerate the four distinct operations and their select semantics, but the schema's discriminator plus 86% param coverage partially covers this. Given the tool's complexity, slightly more operational guidance would help.

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 86%, so most params are already documented. The description adds value by naming the required gatekeeping params (why_no_typed_tool_fits, docs_resource_consulted, typed_wrapper_checked, risk_acknowledgement, expected_evidence), clarifying their collective purpose as a safeguard checklist. It also clarifies that writes private artifacts and warns when a typed tool would be better, which influences how params like risk_acknowledgement should be filled.

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?

The description clearly states this is a 'last-resort prompt bridge' to a Hermes Agent backend used 'after typed tools do not fit.' It names the verb+resource (prompt bridge to configured backend) and conveys its role as an escape hatch. However, it doesn't explicitly distinguish itself from the ~70 sibling typed tools by name, relying on the 'last-resort' framing and 'why_no_typed_tool_fits' requirement to imply differentiation.

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 says it's used 'after typed tools do not fit' and 'warns when a typed tool would be better,' which provides clear context and exclusion guidance. It requires the caller to justify why no typed tool fits (via required params). However, it doesn't name specific alternative tools or give richer when-not-to-use scenarios beyond the generic 'prefer typed tools' framing.

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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