Skip to main content
Glama
Bishwas-py

AI SEO Toolkit

by Bishwas-py

competitor_gap

Analyze a page that outranks you to find its content gaps, then get step-by-step instructions to write a replacement that covers what it misses.

Instructions

Read a page that outranks you, find what it is missing, and write the replacement. Returns the full instructions to follow; carry them out rather than summarising them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the page to beat
voiceNobusiness | friendly | casual
tongueNoOutput language, e.g. English, Arabic, Dutch, French

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose one genuinely non-obvious trait — that the tool returns instructions and the agent must carry them out rather than summarise — which is valuable. However, it says nothing about whether the page is fetched live, cost, rate limits, permission needs, or failure modes.

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?

Two tight sentences, front-loaded with the core action and ending on the critical operational caveat. Every clause earns its place with no filler.

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?

For a 3-parameter tool with full schema coverage and no output schema, the description is nearly sufficient. It compensates for the missing output schema by explaining the return is a set of instructions to execute, though it could say more about what those instructions depend on or contain.

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 100%, so the schema already documents url, voice, and tongue. The description adds no meaning beyond the schema — it does not clarify the voice options or the expected language format for tongue. Baseline 3 is appropriate.

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?

The description names a concrete chain of actions (read a competing page, find gaps, write a replacement) tied to the tool's job. It is clear enough to act on, but the phrasing ('a page that outranks you') is impressionistic and it never distinguishes itself from siblings like article_draft or content_refresh, which also produce written content.

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 pick this tool versus the content_refresh, article_draft, or ai_citations siblings. It states what the tool does but leaves selection entirely to the agent's inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.