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concordance

discern

Discern what to do with anything WITHOUT doing it — the proposal half of the engine, laid open. Bring a claim, a question, or a messy statement; get back what KIND it is, the necessary claim reduced to only what could change a verdict (private and framing context held back, not sent), the structured (domain, spec) the gate would verify, and where it routes. It PROPOSES, never confirms — no verdict, no seal: hand the returned claims to verify to dispose. Crisis is discerned first and routed to real people, never the gate. The twin of the verify door; nothing is generated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesanything — a claim, a question, or what is on your mind

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries full responsibility. It discloses that it never confirms, produces no verdict or seal, generates nothing, holds back private/framing context, and routes crises to humans. This goes beyond what structured fields would convey, giving the agent a clear safety profile without any annotation support.

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?

The description is dense and front-loaded with the core purpose in the first sentence. Every sentence adds value (outputs, routing, twin relationship, crisis handling). Some metaphorical language ('laid open', 'twin of the verify door') is stylistic but not wasteful. Slightly long but earns its length for the breadth of information.

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?

There is no output schema, so the description must explain returns, which it does thoroughly: 'get back what KIND it is, the necessary claim reduced..., the structured (domain, spec)..., and where it routes.' It also explains the non-action nature and gives the follow-up instruction to use verify. This is complete for an agent to understand the tool's role and integration.

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 coverage is 100% (only parameter 'text' with description 'anything — a claim, a question, or what is on your mind'). The description says 'Bring a claim, a question, or a messy statement' which essentially repeats the schema's meaning. No additional semantics are added beyond the schema, 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?

The description clearly states the tool's purpose: 'Discern what to do with anything WITHOUT doing it' — a proposal-only analysis tool. It distinguishes itself from its twin 'verify' by specifying that it proposes and never confirms, and it describes concrete outputs (kind, reduced claim, domain/spec, routing). This is a specific verb+resource definition that differentiates from siblings.

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?

Explicit guidance is given: 'hand the returned `claims` to `verify` to dispose' tells the agent exactly the next step. It also notes a key exception: 'Crisis is discerned first and routed to real people, never the gate.' This clearly indicates when to use the tool and how it relates to verify, covering both when and when-not to use.

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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TDQS

C2.6/5.0
Disambiguation2/5

Several tools are near-duplicates: read_passage and resolve both fetch WEB text for a reference; word_study already includes every occurrence that word_occurrences returns; coach_next and coach_recommend both answer 'what's next.' Search/locate/cards_browse also overlap as discovery entry points, making tool selection ambiguous despite detailed descriptions.

Naming Consistency3/5

Most names follow an object_verb snake_case pattern (cards_browse, study_create, seal_fetch), but there are many bare verbs/nouns (ask, audit, resolve, verify, canon, harmony) and inconsistent singular/plural pairs (card_get vs cards_browse, group_create vs groups_list, want_open vs wants_list). No camelCase, but the convention is not uniform.

Tool Count1/5

86 tools is an extreme count for any single MCP server, far beyond the 3-15 well-scoped range; even a broad platform would be hard for an agent to navigate. Many tools belong to unrelated subdomains (coach, steward, mesh, calendar), making the surface unwieldy.

Completeness2/5

The want/offer flow has no accept/close tool, so an agent can open a want and offer a source but never see it resolved. Group and calendar coverage are one-directional (create/join only; no leave/delete/list/update), and there is no badge listing or way to update a study group. Core reading/verification/shelf flows are solid, but lifecycle gaps remain.