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Heista

by co.heista

List Saved visual ideas

list_saved_visual_idea_presets
Read-onlyIdempotent

Visual ideas you saved from prior generations. Workspace-only. Read-only, free. Filter scope with only_workspace / only_official (mutually exclusive — same toggle as the in-app library lens). Page with limit + offset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size. Default 24, max 100.
offsetNoOffset for paging through results. Default 0.
brand_idNoOptional brand_id to scope workspace presets to. Get from list_brands. Official presets are not brand-scoped and are unaffected by this filter.
only_officialNoWhen true, hide workspace (user-created) presets and only return Heista-curated (official) presets. Mutually exclusive with only_workspace.
only_workspaceNoWhen true, hide Heista-curated (official) presets and only return workspace (user-created) presets. Mutually exclusive with only_official.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds cost ('free') and scope ('Workspace-only'), plus clarifies filter behavior beyond annotations. No contradictions.

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?

Three concise sentences, front-loaded with purpose. Every sentence contributes unique information: resource identity, scope, cost, filter logic, and pagination. No redundancy or fluff.

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?

Covers essential usage information including scope, cost, filtering, and pagination. Although there is no output schema, the description doesn't detail return structure, but for a simple list tool with annotated safety, it is adequate.

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 coverage is 100% with parameter descriptions. The description adds value by explaining the mutual exclusivity of filters and analogizing to the in-app toggle, which helps the agent understand the interaction beyond the schema's individual parameter descriptions.

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 lists saved visual idea presets, with precise resource identification ('visual ideas you saved from prior generations'). It distinguishes from sibling list tools by specifying workspace-only scope and unique filter options, making the purpose unambiguous.

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?

Provides clear context for filter scopes (only_workspace/only_official) and mutual exclusivity, plus pagination guidance. Lacks explicit when-not-to-use compared to alternatives, but the sibling list names imply separate tool per preset type.

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

A3.7/5.0
Disambiguation4/5

Despite the high tool count, most tools have distinct purposes with thorough descriptions that specify when to use each. Some overlap exists among creative direction tools (call_creative_worlds vs chat_with_creative_worlds), but the descriptions clarify usage patterns.

Naming Consistency3/5

Naming conventions are inconsistent overall: some follow verb_noun (create_powersource_url, decode_ad), others use noun_verb or compound names (adformula_intelligence, fleet_analytics_overview). However, subgroups like dispatch_* and list_*_presets maintain internal consistency.

Tool Count2/5

112 tools is far beyond the typical 3-15 range for well-scoped servers. While the server covers a broad domain, the sheer number likely overwhelms agents and suggests insufficient consolidation of related operations.

Completeness4/5

The tool set covers core creative intelligence workflows: brand analysis, ad decoding, script generation, creative direction, and research. Minor gaps exist (e.g., no social media publishing tools), but the main use cases are well-supported.

Resources