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Get schema

well_get_schema
Read-only

Discover available data types and fields.

USAGE:

  • well_get_schema() → List ALL available roots, including the accounting graph (ledger_accounts, journals, journal_entries) plus account_balances, tax_rates, exchange_rates — query these for real financial statements (compte de résultat / balance sheet) instead of reconstructing them from raw invoices

  • well_get_schema({ root: "invoices" }) → List all available fields for invoices

WORKFLOW:

  1. Call well_get_schema(root) to see available fields

  2. Pick the fields you need for your task (typically 5-15)

  3. Call well_query_records with those specific fields

Returns fields with path, type, and (when documented) semantic context:

  • { path: "invoices.grand_total", type: "numeric", context: "Total invoice amount incl. tax in the document currency...", enrichment: "AI extraction" } → use _eq, _gt, _lt, etc.

  • { path: "invoices.local_currency", type: "enum" } → use ONLY _eq, _neq, _in, _nin, _is_null

  • { path: "invoices.issuer.name", type: "text" } → use _eq, _like, _ilike, etc.

  • "context" (when present) explains what the field MEANS in the domain and how it's used — read it to pick the right field and write correct filters.

  • "enrichment" (when present) is the value's provenance (e.g. "Bank sync", "AI extraction", "System generated", "Derived", "Manual"). Use the type to choose the right whereClause operators in well_query_records. To use in well_query_records, convert path to array: "invoices.issuer.name" → ["invoices", "issuer", "name"]

Input Schema

NameRequiredDescriptionDefault
rootNoEntity root to inspect. Omit to list every available root (call well_get_schema() with no argument first). Includes the accounting graph (ledger_accounts, journals, journal_entries) alongside companies, invoices, transactions, accounts, and more.
depthNoRelationship depth: 0=scalars only, 1=direct relations (default), 2=nested, 3=level-3 graph
workspace_idNoTarget workspace. Optional: this tool describes the token itself rather than one workspace's data, so omitting it returns the same answer.
conversation_idNoThe conversation id returned by the previous Well result, in its meta under well/conversation_id, in its structuredContent, or in its JSON text block. Pass it back on every call in the same conversation, including a call a card makes, so the chosen workspace and the earlier answers still apply. It decides the conversation on its own: nothing the host states about the session replaces it. Omit it only on the first call of a conversation.
workspace_scopeNoRestrict this call to the family: the token's primary workspace plus the company workspaces under it that you are a member of. Unrelated authorized workspaces drop out of the read; row reads merge across the family, while a per-workspace figure still reports exactly one workspace.

Output Schema

NameRequiredDescriptionDefault
rootNo
errorNo
rootsNo
totalNo
fieldsNo
successYes
conversation_idNoThe conversation this result belongs to. Pass it back as the conversation_id argument on every later Well call in the same conversation.
newly_connectedNoTools that connected to this workspace since the last result and that no session was told about yet, oldest first. Present only when at least one tool is new. The connected-line rule says when to tell an entry; when it does, one line per entry, in the person's language: "<name> is connected.". Never fold several entries into one sentence. Each entry comes back once, on one result only: never repeat its line later.
conversation_id_noteNoPresent only when the server opened a fresh lane, stating that no choice recorded earlier was read.
conversation_id_sourceNoWhere the conversation id came from: the host's own request meta, the caller's argument, or a fresh lane the server opened.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / newly_connected / description
      Previous value: -"Tools that connected to this workspace since the last result and that no session was told about yet, oldest first. Present only when at least one tool is new. Start the reply with one line per entry, in the person's language: \"<name> is connected.\". Never fold several entries into one sentence. Each entry comes back once, on one result only: never repeat its line later."New value: +"Tools that connected to this workspace since the last result and that no session was told about yet, oldest first. Present only when at least one tool is new. The connected-line rule says when to tell an entry; when it does, one line per entry, in the person's language: \"<name> is connected.\". Never fold several entries into one sentence. Each entry comes back once, on one result only: never repeat its line later."
  2. Changed1 schema field changed
    • addedInput schema / properties / workspace_scope
      Added value: +{
      +  "description": "Restrict this call to the family: the token's primary workspace plus the company workspaces under it that you are a member of. Unrelated authorized workspaces drop out of the read; row reads merge across the family, while a per-workspace figure still reports exactly one workspace.",
      +  "enum": [
      +    "family"
      +  ],
      +  "type": "string"
      +}
  3. Changed1 schema field changed
    • addedOutput schema / properties / newly_connected
      Added value: +{
      +  "description": "Tools that connected to this workspace since the last result and that no session was told about yet, oldest first. Present only when at least one tool is new. Start the reply with one line per entry, in the person's language: \"<name> is connected.\". Never fold several entries into one sentence. Each entry comes back once, on one result only: never repeat its line later.",
      +  "items": {
      +    "additionalProperties": false,
      +    "properties": {
      +      "name": {
      +        "type": "string"
      +      },
      +      "service_id": {
      +        "type": "string"
      +      }
      +    },
      +    "required": [
      +      "name",
      +      "service_id"
      +    ],
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
  4. Changed4 schema fields changed
    • addedInput schema / properties / conversation_id
      Added value: +{
      +  "description": "The conversation id returned by the previous Well result, in its meta under well/conversation_id, in its structuredContent, or in its JSON text block. Pass it back on every call in the same conversation, including a call a card makes, so the chosen workspace and the earlier answers still apply. It decides the conversation on its own: nothing the host states about the session replaces it. Omit it only on the first call of a conversation.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / conversation_id
      Added value: +{
      +  "description": "The conversation this result belongs to. Pass it back as the conversation_id argument on every later Well call in the same conversation.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / conversation_id_note
      Added value: +{
      +  "description": "Present only when the server opened a fresh lane, stating that no choice recorded earlier was read.",
      +  "type": "string"
      +}
    • addedOutput schema / properties / conversation_id_source
      Added value: +{
      +  "description": "Where the conversation id came from: the host's own request meta, the caller's argument, or a fresh lane the server opened.",
      +  "enum": [
      +    "host_meta",
      +    "argument",
      +    "minted"
      +  ],
      +  "type": "string"
      +}
  5. Changed1 schema field changed
    • changedInput schema / properties / workspace_id / description
      Previous value: -"Target workspace. Omit to use the only authorized workspace, or (for read tools) to query all authorized workspaces grouped by workspace. Required for write tools when the token authorizes more than one workspace."New value: +"Target workspace. Optional: this tool describes the token itself rather than one workspace's data, so omitting it returns the same answer."
  6. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover readOnly/destructive/openWorld, so the bar is lower, and the description still adds real behavioral content: the shape of returned entries (path, type, context, enrichment) and the operator contract each type implies (enum → only _eq/_neq/_in/_nin/_is_null). It does not say whether the schema is stable across calls or cached, which is the remaining gap.

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?

Front-loads the one-line purpose, then uses USAGE/WORKFLOW headers and concrete examples so it is skimmable despite its length. Slightly long and the accounting-graph point is repeated between the usage bullet and the root schema text, but nearly every line carries actionable content.

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?

With an output schema present the description needn't explain return values, yet it explains how to consume them (type→operator mapping, path→array conversion) and ties into the next tool in the workflow. Nothing an agent needs to call this correctly is missing.

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% and all five parameters (root, depth, workspace_id, conversation_id, workspace_scope) are already documented in the schema. The description restates the no-arg behavior for root but adds nothing about depth, workspace scoping, or conversation threading, so the baseline 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?

States a specific verb and resource ("Discover available data types and fields") and immediately makes the scope concrete by enumerating roots, the accounting graph, and the per-root field listing. It also positions itself against well_query_records in the workflow, so an agent can tell what this tool produces versus the query tool it feeds.

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?

Gives explicit call shapes for both modes (no-arg for all roots, root-scoped for fields), a numbered workflow from introspection to well_query_records, and a when-not-to guidance ("query these for real financial statements instead of reconstructing them from raw invoices"). This is about as close to unambiguous routing as a schema-introspection tool can get.

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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