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Create a saved view

create_saved_view
Destructive

Saves a named view (columns, filters, sort) on one data table, optionally as the user's favorite or default. Returns the view id.

Input Schema

NameRequiredDescriptionDefault
nameYes
modelYesThe table's model class, e.g. App\Models\Product.
dry_runNoValidate only; saves nothing.
is_sharedNo
query_dataYesA JSON string: {columns: {visible: [...]}, search, filterGroups (base64), sortBy, pagination}.
idempotency_keyNoA repeat with this key replays the first result.
is_user_defaultNo
is_user_favoriteNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the write/safety profile is conveyed structurally. The description adds the return value ('Returns the view id') and the favorite/default optionality, but it never explains why a create operation is flagged destructive nor any auth or permission requirements, so it contributes only modestly beyond the annotations.

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?

Two compact sentences with no filler; the purpose is front-loaded and the return value, useful given there is no output schema, is placed last where it belongs. The parenthetical list is dense but earns its space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter mutation tool with no output schema, the description covers the core purpose and return value adequately, but leaves the destructive annotation unexplained and provides no when-to-use context. An agent could call it correctly, but with notable remaining gaps.

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 50% (model, dry_run, query_data, idempotency_key documented). The description restates the query_data contents as '(columns, filters, sort)' and alludes to favorite/default flags, but says nothing about model, is_shared, dry_run, or idempotency_key, so it adds little beyond the schema's own text.

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?

States a specific verb and resource ('Saves a named view') with the view's contents (columns, filters, sort) and scope (one data table). It is unambiguous what the tool creates, though no sibling tool overlaps this space so no explicit differentiation is needed.

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

Usage Guidelines2/5

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

There is no guidance on when to use this versus alternatives, prerequisites, or what conditions warrant creating a saved view. The clause 'optionally as the user's favorite or default' hints at intent but never states a when/when-not condition.

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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