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List the swipefile

list_swipefile
Read-only

List this workspace's SWIPEFILE — the saved-ad research board: every named collection and the ads/creatives kept in it (advertiser, headline, body copy, media URL, platform, when it was saved, and any taste tags). The SAME board the web app's Swipefile tab shows. Use it to answer "what have we saved?", to mine the user's own taste before planning an ad, or to find a reference to remix. Read-only, free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNomax ads to return (default 50, max 500)
collectionNoonly list ads in this collection (by name or id) — omit for every collection

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true and destructiveHint=false, which this description reinforces with 'Read-only, free.' The description adds valuable behavioral context beyond those hints by enumerating exactly what data is returned (advertiser, headline, body copy, media URL, platform, saved-at timestamp, taste tags) and confirming it mirrors the web app's Swipefile tab. This enriches the agent's understanding of the tool's output without contradicting any annotations.

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?

The description is well-structured and front-loaded with the core purpose. It is three sentences long, each adding distinct value: the first defines what the tool does and what it returns, the second clarifies it is the same as the web app, and the third lists concrete use cases. There is no redundancy or filler; every sentence earns its place.

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?

For a simple read-only list tool with no output schema, the description covers all necessary context: it explains what data is returned, the scoping options are clear from the schema and description, and the use cases are provided. It does not omit any crucial details that an agent would need to invoke it correctly, given the simplicity and the annotation coverage.

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?

The schema covers both parameters (limit and collection) with descriptions, achieving 100% schema description coverage. The tool description does not add any extra meaning to these parameters beyond what the schema already provides; it only implies that omitting collection returns all collections, which is already noted in the schema's description ('omit for every collection'). Thus, the description adds minimal incremental value for parameter semantics.

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: to list the workspace's SWIPEFILE (saved-ad research board). It specifies the verb 'list', the resource (the swipefile), and details what it returns (collections, ads/creatives with fields like advertiser, headline, etc.). It also distinguishes itself from siblings by noting it is the same board shown in the web app and is read-only, making it obvious it is distinct from save_to_swipefile or export_swipefile_deck.

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?

The description provides explicit usage scenarios: 'what have we saved?', 'mine the user's own taste before planning an ad', and 'find a reference to remix.' It does not explicitly state when not to use it or name alternative tools, but the read-only note and the detailed content imply it is for reading, not modifying. The alternatives (save, export) are not mentioned, so it falls short of a 5.

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
Disambiguation2/5

With 293 tools, the surface is enormous and many tools have overlapping purposes—multiple posting tools (post_to_meta, post_to_linkedin, schedule_post, etc.), multiple analytics tools per channel, and several search tools (search_meta_ads, search_instagram, search_reddit...). While each description is detailed, the volume makes it difficult for an agent to reliably distinguish between similar tools without careful reading, leading to frequent misselection.

Naming Consistency4/5

The naming is largely consistent with a verb_noun pattern (post_to_*, list_*, create_*, delete_*, update_*, manage_*). There are clear families for major operations. A few outliers like 'google_business_account', 'hermoso_capabilities', and 'store_get' break the pattern, but the overwhelming majority follow a predictable structure, making navigation somewhat easier.

Tool Count1/5

293 tools is far beyond any reasonable scope for a single MCP server, even for a comprehensive marketing platform. The calibration guide flags 50+ as an extreme mismatch, and this is nearly six times that threshold. Such a large surface overwhelms context windows, increases the probability of misselection, and makes it impractical for agents to learn or use effectively.

Completeness4/5

The tool set covers a vast domain: ad creation and rendering, posting across nine+ social channels, analytics and reporting, file management (Drive/OneDrive), competitor research, brand management, and more. It appears to provide CRUD and lifecycle coverage for most resources. While there may be minor gaps given the immense scope, the overall coverage is impressively comprehensive.