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Read a Google Sheet range

read_sheet
Read-only

Read cells from a Google Sheet Hermoso can reach — one it created, or one the user handed over with the Google file picker in the app (that is how an EXISTING spreadsheet becomes readable; find its id with list_drive_files). Pass the spreadsheetId (from create_sheet) OR paste a Google Sheets URL as sheetUrl. If Google answers that the file was not found, the user has not picked it yet — ask them to pick it in the app rather than retrying. Returns a 2-D array of values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rangeNoA1 range, e.g. "A1:D50" (default A1:Z1000)
sheetUrlNoa Google Sheets URL to read — the spreadsheet id is extracted from it
spreadsheetIdNothe spreadsheet id (from create_sheet)

TDQS

A5/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description goes beyond by detailing the access model (created vs. user-picked), the alternative input methods (spreadsheetId or sheetUrl), and the specific error-recovery instruction. It also discloses the return format (2-D array). This adds meaningful behavioral context 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is about four sentences, each packed with necessary information. It starts with the core action, then access conditions, then error handling, then return type. No fluff or redundancy; 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 read tool with no output schema, the description fully equips an agent: it covers input alternatives, how to resolve not-found errors, and the return format. It also references sibling tools (list_drive_files, create_sheet) for id sourcing. Nothing essential for a correct call is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema description coverage is 100%, the description adds crucial relational semantics: it explains that spreadsheetId and sheetUrl are alternatives and where to obtain the id (from create_sheet or list_drive_files). It also clarifies the range parameter's default. This goes beyond the schema's per-parameter descriptions by explaining the interaction between parameters.

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 states a specific verb ('Read') and resource ('cells from a Google Sheet'), and clarifies the scope (sheets Hermoso can reach). It stands out from siblings like update_sheet or append_to_sheet by making the read-only nature explicit. The mention of the access model and the error-handling path further disambiguates its purpose.

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?

It explicitly explains when the tool works (sheets created by Hermoso or user-picked) and how an existing sheet becomes readable, pointing to list_drive_files for finding the id. It also advises the agent to ask the user to pick the file on a not-found error rather than retrying, which is clear guidance on when NOT to use the tool. This is strong contextual routing.

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.