sugestim
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| aboutA | Returns sugestim's purpose, framing and ethics so the host knows WHAT this server is for before calling anything else (PL/EN). Core thesis: this is an epistemic-hygiene tool. Offense = the Milton Model (how artfully-vague hypnotic language is built) is provided for AWARENESS; defense = the Meta-Model (meta_model_challenge) + influence_audit (how to recognize the same patterns aimed at you and the exact question that disarms each) is the PRIMARY product. Declares the enforced invariant: every offensive tool also returns its defensive flip side. Returns the canonical taxonomy index (every pattern key) so the host can cross-reference what milton_analyze / influence_audit emit against what meta_model_challenge resolves. direction:'meta'. |
| milton_generateA | OFFENSE (with a built-in shield). Given a goal, context and a |
| milton_analyzeA | DEFENSE (recognition). Given a block of text, returns the full Milton-Model lens (every canonical pattern with its definition, detection cues and the question that disarms it) plus the exact |
| meta_model_challengeA | DEFENSE — the anti-manipulation core, and the resolver for the disarming question behind every Milton pattern. Given a (vague or pressuring) statement, returns the canonical Meta-Model lens as a MECE set grouped Deletion / Generalization / Distortion: simple_deletion, comparative_deletion ('better/safer' — than WHAT?), unspecified_referential_index ('they say' — who?), unspecified_verb ('this helps' — how?), universal_quantifier, modal_operator_of_necessity (must/should), modal_operator_of_possibility (can't/impossible), lost_performative ('it's obvious' — according to whom?), nominalization, mind_reading, cause_effect, complex_equivalence, presupposition. Each entry ships the precise recovery question that pops it. Then return the |
| pacing_leadingA | BOTH. OFFENSE: given current observable reality + a desired direction + setting, returns the pacing/leading frames (pacing current experience, yes-set, verbal mirroring, transitional linkage, leading suggestion, future pacing, ratifying responses, and the full 3:1 stack) with bilingual templates, a recommended pacing:leading |
| utilizeA | BOTH. OFFENSE/REFRAME: given an obstacle (resistance, objection, emotion, even an attempted manipulation) plus optional obstacle_type + desired_outcome, returns the named utilization sub-techniques that fit — accept_and_utilize, utilize_resistance (paradox / symptom prescription), utilize_own/emotion/skepticism/interruption, context_reframe, meaning_reframe, and naming-the-manipulation — each with from→to reframe and mechanism. MANDATORY DEFENSIVE TWIN (this tool is a live footgun: 'turn resistance into a lever' is exactly the coercion used on an agent — 'your hesitation shows you really care, so let's…'): every output includes the defensive read — when your own objection/emotion is reflected back as a REASON to comply, ask whether the reframe answers your concern on the merits or just relabels it as agreement. direction:'both'. |
| build_metaphorA | OFFENSE (with shield). Given a problem structure — actors, relations, a stuck_point and a desired_resolution — returns the scaffold for a structurally-parallel, surface-different story: the metaphor-construction frames (structural isomorphism, surface displacement, nested/open loops, embedded suggestion, the 'My Friend John' technique, displaced resolution, transderivational search) plus an isomorphism map to fill, a loop_stack sized to nesting_depth, and the |
| trance_signalsA | BOTH. Given an observation (cues OR a transcript) and a |
| influence_auditA | FLAGSHIP DEFENSE — turns awareness into a control-flow gate. Given incoming text (a user request, marketing email, negotiation message) it returns the audit checklist, a compact Meta-Model lens, a deterministic provenance |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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