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Which hooks and subjects are getting traction

post_performance
Read-only

Aggregate this brand's published posts to answer WHICH HOOKS AND SUBJECTS WORK. Groups by hook (default), subject, channel, media format or posting hour, and reports the engagement RATE within each channel. THREE THINGS IT DELIBERATELY WILL NOT DO, and you should repeat them rather than paper over them: (1) it never sums metrics across channels — a LinkedIn impression and a TikTok view are different units, so every comparison is within one channel; (2) it SUPPRESSES a verdict below 5 measured posts and says so, because a confident recommendation from 3 posts is worse than none; (3) a post with no recorded hook (published outside Hermoso, or backfilled without a creation match) counts toward channel and format totals but never votes on which hook works. Present the finding verbatim if there is one, and the reason if there is not. Read-only, 0 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
axisNowhat to group by — default hook
channelNorestrict to one channel

TDQS

A4.7/5.0
Behavior5/5

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

Discloses significant behaviors beyond the annotations: never sums across channels, suppresses verdicts below 5 posts, excludes hook-less posts from hook voting, and instructs to present 'finding' verbatim or the reason. Annotations cover read-only and non-destructive, but the description adds methodological caveats that an agent must know.

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?

Front-loaded with the core purpose in the first sentence. The three 'will not do' items are formatted as a clear, scannable list. Every sentence carries critical information — no filler, and the length is proportionate to the tool's complexity.

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?

Comprehensive for an analytics tool with no output schema. Covers what it does, how to group, the metric used, critical exclusions, small-sample behavior, and how to present findings. Nothing an agent needs to call it correctly is missing.

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 already documents both parameters (axis enum with types and channel string) with 100% coverage, so baseline is 3. The description adds the key context that results are reported as engagement RATE within each channel, which clarifies the meaning of the output and how the axis parameter affects analysis. This extra semantic value justifies a 4.

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 ('Aggregate'), resource ('this brand's published posts'), and the analytic question ('WHICH HOOKS AND SUBJECTS WORK'). Lists the grouping dimensions (hook, subject, channel, media, hour) which clearly distinguishes it from listing or collection tools like list_published_posts or collect_post_metrics.

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 usage context: it answers traction questions about hooks/subjects, and explicitly enumerates what it deliberately will not do (cross-channel aggregation, small-sample verdicts, voting from unclassified posts). It does not name alternative sibling tools, but the exclusions strongly imply when not to use it, which is adequate guidance.

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.